Gender Disparity in Citations in High-Impact Journal Articles

Citation bias, diversity, and ethics

How often a researcher is cited usually plays a decisive role in that person's career advancement, because academic institutions often use citation metrics, either explicitly or implicitly, to estimate research impact and productivity. Research has shown, however, that citation patterns and practices are affected by various biases, including the prestige of the authors being cited and their gender, race, and nationality, whether self-attested or perceived. Some commentators have proposed that researchers can address biases related to social identity or position by including a Citation Diversity Statement in a manuscript submitted for publication. A Citation Diversity Statement is a paragraph placed before the reference section of a manuscript in which the authors address the diversity and equitability of their references in terms of gender, race, ethnicity, or other factors and affirm a commitment to promoting equity and diversity in sources and references. The present commentary considers arguments in favor of Citation Diversity Statements, and some practical and ethical issues that these statements raise.

The causal structure and computational value of narratives

Many human behavioral and brain imaging studies have used narratively structured stimuli (e.g., written, audio, or audiovisual stories) to better emulate real-world experience in the laboratory. However, narratives are a special class of real-world experience, largely defined by their causal connections across time. Much contemporary neuroscience research does not consider this key property. We review behavioral and neuroscientific work that speaks to how causal structure shapes comprehension of and memory for narratives. We further draw connections between this work and reinforcement learning, highlighting how narratives help link causes to outcomes in complex environments. By incorporating the plausibility of causal connections between classes of actions and outcomes, reinforcement learning models may become more ecologically valid, while simultaneously elucidating the value of narratives.

Persistent gender disparity in leading dental publications across 4 decades: an observational study

OBJECTIVES

This observational study assessed the differences in the gender of the first and last authors in the most-cited dental articles over the last 4 decades.

STUDY DESIGN AND SETTING

Articles were obtained through an electronic search of the most-cited articles in dentistry by decade (total n = 400 articles). The 100 most-cited studies in each decade (1980-1989, 1990-1999, 2000-2009, and 2010-2019), with any study design, with results in dentistry were eligible. The gender of the first and last authors was determined using the Genderize database. Comparative evaluation of gender distribution in general and across the 4 decades was performed with the Chi-square test, and the contribution of variables on the citation rate of articles was performed using linear regression.

RESULTS

There were statistical differences between the gender distributions, with a predominance of men in the first (83.8%) and the last (86.8%) positions (P < .001). Over the decades, there was a tendency for an increase in the proportion of women as the last author (P = .002; Chi-square trend Test), with an increase of women from 6% to 22% across the last 4 decades. However, no statistically significant differences were observed between the genders for the first author in the last 4 decades (P = .163; Chi-square trend Test).

CONCLUSION

The findings indicate that men lead a large percentage of the most-cited articles in dentistry and that this trend has not shown substantial modifications over the last years. Nonetheless, for the position of last authorship, an increase in women's representativity was observed over the last decades.

Gender Differences in Physical Activity and Health-Related Authorships Between 1950 and 2019

BACKGROUND

The objective of this study was to investigate gender differences in authorship in physical activity and health research.

METHODS

A bibliometric study including 23,399 articles from 105 countries was conducted to estimate the participation of female researchers in physical activity publications from 1950 to 2019. The frequency of female researchers was analyzed and classified by first and last authors and the overall percentage of female authors by region and country.

RESULTS

The proportion of female first authors increased from <10% in the 50s and 80s to 55% in the last decade. On the other hand, the proportion of last authors increased from 8.7% to 41.1% in the same period. Most publications with female researchers were from the United States, Canada, Australia, Brazil, the Netherlands, Spain, England, Germany, Sweden, and China. Nine of these countries had over 50% of the articles published by female first authors. However, in all 10 countries, <50% of the articles were published by female last authors.

CONCLUSIONS

The proportion of female researchers increased over time. However, regional differences exist and should be addressed in gender equity policies. There is a gap in the participation of female researchers as last authors. By actively addressing the gender gap in research, the global society can harness the full potential of all talented individuals, regardless of gender, leading to more inclusive and impactful scientific advancements.

The relationship between event boundary strength and pattern shifts across the cortical hierarchy during naturalistic movie-viewing

Our continuous experience is spontaneously segmented by the brain into discrete events. However, the beginning of a new event (an event boundary) is not always sharply identifiable: phenomenologically, event boundaries vary in salience. How are the response profiles of cortical areas at event boundaries modulated by boundary strength during complex, naturalistic movie-viewing? Do cortical responses scale in a graded manner with boundary strength, or do they merely detect boundaries in a binary fashion? We measured "cortical boundary shifts" as transient changes in multi-voxel patterns at event boundaries with different strengths (weak, moderate, and strong), determined by across-subject agreement. Cortical regions with different processing timescales were examined. In auditory areas, which have short timescales, cortical boundary shifts exhibited a clearly graded profile both in group-level and individual-level analyses. In cortical areas with long timescales, including the default mode network, boundary strength modulated pattern shift magnitude at the individual subject level. We also observed a positive relationship between boundary strength and the extent of temporal alignment of boundary shifts across different levels of the cortical hierarchy. A strictly nested bottom-up hierarchical structure was not necessary to observe this relationship. Additionally, hippocampal activity was highest at event boundaries for which cortical boundary shifts were most aligned across hierarchical levels. Overall, we found that event boundary strength modulated cortical pattern shifts strongly in sensory areas and more weakly in higher-level areas, and that stronger boundaries were associated with greater alignment of these shifts across the cortical hierarchy.

Gender equity in academic dermatology: Problems aplenty, yet paths ahead

Efforts to achieve gender equity of health professionals should be a priority in all fields of medicine, including academic dermatology. This review aimed, first, to summarize available evidence about the status of gender equity in various domains of academic dermatology-headship positions, salary, editor and editorial board appointments, publications, conference presentations, receipt of research grants and academic prizes-second, to identify challenges to achieving gender equity and, third, to articulate the components of a multifaceted strategy for gender parity. A variety of databases were searched. Manual searching of reference lists and searching of grey literature were also undertaken. It was found that, despite improvements in some domains, the gender inequity persists in all of the above-mentioned areas of academic dermatology. Challenges to achieve gender parity include time in pregnancy, disproportionate participation in childrearing and domestic tasks compared with men, suboptimal legislation in many jurisdictions for parenting and childcare leave, and unconscious biases about women. Elements of a multipronged approach include strengthening women's dermatology societies that advocate for women in academia; celebrating the careers of distinguished female academic dermatologists; mentoring; promoting leadership courses; striving for a greater representation of women among editors-in-chief, authors, and conference presenters, among others; seeking better pay, leave conditions and other work entitlements; conducting high-quality research about gender inequity in academic dermatology; imposing sanctions for violations of gender equity; supporting dermatologists' health; and learning from the experience of other fields of academic medicine.

Mapping knowledge of the stem cell in traumatic brain injury: a bibliometric and visualized analysis

Background

Traumatic brain injury (TBI) is a brain function injury caused by external mechanical injury. Primary and secondary injuries cause neurological deficits that mature brain tissue cannot repair itself. Stem cells can self-renewal and differentiate, the research of stem cells in the pathogenesis and treatment of TBI has made significant progress in recent years. However, numerous articles must be summarized to analyze hot spots and predict trends. This study aims to provide a panorama of knowledge and research hotspots through bibliometrics.

Method

We searched in the Web of Science Core Collection (WoSCC) database to identify articles pertaining to TBI and stem cells published between 2000 and 2022. Visualization knowledge maps, including co-authorship, co-citation, and co-occurrence analysis were generated by VOSviewer, CiteSpace, and the R package "bibliometrix."

Results

We retrieved a total of 459 articles from 45 countries. The United States and China contributed the majority of publications. The number of publications related to TBI and stem cells is increasing yearly. Tianjin Medical University was the most prolific institution, and Professor Charles S. Cox, Jr. from the University of Texas Health Science Center at Houston was the most influential author. The Journal of Neurotrauma has published the most research articles on TBI and stem cells. Based on the burst references, "immunomodulation," "TBI," and "cellular therapy" have been regarded as research hotspots in the field. The keywords co-occurrence analysis revealed that "exosomes," "neuroinflammation," and "microglia" were essential research directions in the future.

Conclusion

Research on TBI and stem cells has shown a rapid growth trend in recent years. Existing studies mainly focus on the activation mechanism of endogenous neural stem cells and how to make exogenous stem cell therapy more effective. The combination with bioengineering technology is the trend in this field. Topics related to exosomes and immune regulation may be the future focus of TBI and stem cell research.

Outlook and opportunities for engineered environments of breast cancer dormancy

Dormant, disseminated breast cancer cells resist treatment and may relapse into malignant metastases after decades of quiescence. Identifying how and why these dormant breast cancer cells are triggered into outgrowth is a key unsolved step in treating latent, metastatic breast cancer. However, our understanding of breast cancer dormancy in vivo is limited by technical challenges and ethical concerns with triggering the activation of dormant breast cancer. In vitro models avoid many of these challenges by simulating breast cancer dormancy and activation in well-controlled, bench-top conditions, creating opportunities for fundamental insights into breast cancer biology that complement what can be achieved through animal and clinical studies. In this review, we address clinical and preclinical approaches to treating breast cancer dormancy, how precisely controlled artificial environments reveal key interactions that regulate breast cancer dormancy, and how future generations of biomaterials could answer further questions about breast cancer dormancy.

The Gender Gap in Surgical Literature: Are We Making Progress?

INTRODUCTION

The percentage of women in surgical leadership roles is not commensurate with percent of women in field of surgery. Citation indexes are used as proxy for scholarly impact and may serve as an indicator of women's progress in academic surgery. We aimed to evaluate gender disparities in authorship of surgery manuscripts in high-impact journals.

METHODS

In this bibliometric analysis of original research articles from four high-impact surgical journals from 2008 to 2010 (period A) and 2018-2020 (period B), the gender of primary and senior authors was assigned by Genderize.io. Number of citations per article was identified via Web of Science. Number of citations by gender of authors was compared across time periods.

RESULTS

Of the 3575 articles (Period A = 1915; Period B = 1660), 962 (26.9%) had women as primary authors and 590 (17.2%) as senior authors. Over time, significant increases in women primary and senior authorship were noted from 22.8% to 31.7% (P < 0.001) and 13.9% (254/11,915) to 21% (336/1660), respectively (P < 0.001). Articles written with women primary authors had fewer median (interquartile range) citations than those by men as primary author in period A (39 [17-69.5] versus 42 [20.0-84.0]; P = 0.005). Gender parity was noted in period B (9 [4-19] versus 9 [4-20] citations; P = 0.307). In period A, articles written by women as both primary and senior authors had approximately 25% fewer median citations compared with those by men (34 [17-62] versus 44 [21-86]); P < 0.011), and this reached parity in period B (9 [4-20] versus 9 [4-21]); P < 0.658).

CONCLUSIONS

Overall, gender authorship and citations parity are improving in high-impact surgery journals.

Breaking reflection symmetry: evolving long dynamical cycles in Boolean systems

In interacting dynamical systems, specific local interaction rules for system components give rise to diverse and complex global dynamics. Long dynamical cycles are a key feature of many natural interacting systems, especially in biology. Examples of dynamical cycles range from circadian rhythms regulating sleep to cell cycles regulating reproductive behavior. Despite the crucial role of cycles in nature, the properties of network structure that give rise to cycles still need to be better understood. Here, we use a Boolean interaction network model to study the relationships between network structure and cyclic dynamics. We identify particular structural motifs that support cycles, and other motifs that suppress them. More generally, we show that the presence of dynamical reflection symmetry in the interaction network enhances cyclic behavior. In simulating an artificial evolutionary process, we find that motifs that break reflection symmetry are discarded. We further show that dynamical reflection symmetries are over-represented in Boolean models of natural biological systems. Altogether, our results demonstrate a link between symmetry and functionality for interacting dynamical systems, and they provide evidence for symmetry's causal role in evolving dynamical functionality.

A scientometric analysis of fairness in health AI literature

Artificial intelligence (AI) and machine learning are central components of today's medical environment. The fairness of AI, i.e. the ability of AI to be free from bias, has repeatedly come into question. This study investigates the diversity of members of academia whose scholarship poses questions about the fairness of AI. The articles that combine the topics of fairness, artificial intelligence, and medicine were selected from Pubmed, Google Scholar, and Embase using keywords. Eligibility and data extraction from the articles were done manually and cross-checked by another author for accuracy. Articles were selected for further analysis, cleaned, and organized in Microsoft Excel; spatial diagrams were generated using Public Tableau. Additional graphs were generated using Matplotlib and Seaborn. Linear and logistic regressions were conducted using Python to measure the relationship between funding status, number of citations, and the gender demographics of the authorship team. We identified 375 eligible publications, including research and review articles concerning AI and fairness in healthcare. Analysis of the bibliographic data revealed that there is an overrepresentation of authors that are white, male, and are from high-income countries, especially in the roles of first and last author. Additionally, analysis showed that papers whose authors are based in higher-income countries were more likely to be cited more often and published in higher impact journals. These findings highlight the lack of diversity among the authors in the AI fairness community whose work gains the largest readership, potentially compromising the very impartiality that the AI fairness community is working towards.

A Decade in Review: Trends in Female Authorship in Peer-Reviewed Toxicology Journals

BACKGROUND

Gender diversity in both emergency medicine and medical toxicology has grown over the last decade. However, disparities in promotion, awards, and speakership still exist. No studies have examined gender disparities in authorship in medical toxicology journals.

RESEARCH QUESTIONS

Does the proportion of female first authors and female senior authors in medical toxicology publications increase over time? What factors predict female authorship in the first author or last author positions in two major medical toxicology journals?

METHODS

We performed a retrospective review of all non-abstract publications in two medical toxicology journals, Clinical Toxicology and Journal of Medical Toxicology, between 2011 and 2020. We collected author names, number of authors, publication type, and publication year. Author names were used to identify author gender using Gender-API integrative tool. Data on the percentages of female medical toxicology fellows and medical toxicologists was provided by the American Board of Emergency Medicine (ABEM).

RESULTS

A total of 2212 publications were reviewed and 2171 (97.9%) were included in the dataset. Overall, 31.7% of first authors were identified as female and 67.0% were identified as male by the Gender-API tool. There were 46.8% male-male author dyads, 24.2% female-male author dyads, 12.1% male-female author dyads, and 5.7% female-female author dyads. Predictors of female first authorship included research and case report articles, and percentage of ABEM female toxicologists. Predictors of female senior authorship included number of authors and percentage of ABEM female toxicologists. The proportion of female authorship in both categories increased over the study period.

CONCLUSIONS

The frequency of female authorship in the first author position has grown over the last decade and is associated with increasing female representation in medical toxicology and specific manuscript subtypes, specifically research manuscripts.

Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex

The signed value and unsigned salience of reward prediction errors (RPEs) are critical to understanding reinforcement learning (RL) and cognitive control. Dorsomedial prefrontal cortex (dMPFC) and insula (INS) are key regions for integrating reward and surprise information, but conflicting evidence for both signed and unsigned activity has led to multiple proposals for the nature of RPE representations in these brain areas. Recently developed RL models allow neurons to respond differently to positive and negative RPEs. Here, we use intracranially recorded high frequency activity (HFA) to test whether this flexible asymmetric coding strategy captures RPE coding diversity in human INS and dMPFC. At the region level, we found a bias towards positive RPEs in both areas which paralleled behavioral adaptation. At the local level, we found spatially interleaved neural populations responding to unsigned RPE salience and valence-specific positive and negative RPEs. Furthermore, directional connectivity estimates revealed a leading role of INS in communicating positive and unsigned RPEs to dMPFC. These findings support asymmetric coding across distinct but intermingled neural populations as a core principle of RPE processing and inform theories of the role of dMPFC and INS in RL and cognitive control.

Gender imbalances in the editorial activities of a selective journal run by academic editors

The fairness of decisions made at various stages of the publication process is an important topic in meta-research. Here, based on an analysis of data on the gender of authors, editors and reviewers for 23,876 initial submissions and 7,192 full submissions to the journal eLife, we report on five stages of the publication process. We find that the board of reviewing editors (BRE) is men-dominant (69%) and that authors disproportionately suggest male editors when making an initial submission. We do not find evidence for gender bias when Senior Editors consult Reviewing Editors about initial submissions, but women Reviewing Editors are less engaged in discussions about these submissions than expected by their proportion. We find evidence of gender homophily when Senior Editors assign full submissions to Reviewing Editors (i.e., men are more likely to assign full submissions to other men (77% compared to the base assignment rate to men RE of 70%), and likewise for women (41% compared to women RE base assignment rate of 30%))). This tendency was stronger in more gender-balanced scientific disciplines. However, we do not find evidence for gender bias when authors appeal decisions made by editors to reject submissions. Together, our findings confirm that gender disparities exist along the editorial process and suggest that merely increasing the proportion of women might not be sufficient to eliminate this bias. Measures accounting for women's circumstances and needs (e.g., delaying discussions until all RE are engaged) and raising editorial awareness to women's needs may be essential to increasing gender equity and enhancing academic publication.

Beta and theta oscillations track effort and previous reward in human basal ganglia and prefrontal cortex during decision making

Choosing whether to exert effort to obtain rewards is fundamental to human motivated behavior. However, the neural dynamics underlying the evaluation of reward and effort in humans is poorly understood. Here, we investigate this with chronic intracranial recordings from prefrontal cortex (PFC) and basal ganglia (BG; subthalamic nuclei and globus pallidus) in people with Parkinson's disease performing a decision-making task with offers that varied in levels of reward and physical effort required. This revealed dissociable neural signatures of reward and effort, with BG beta (12-20 Hz) oscillations tracking subjective effort on a single trial basis and PFC theta (4-7 Hz) signaling previous trial reward. Stimulation of PFC increased overall acceptance of offers in addition to increasing the impact of reward on choices. This work uncovers oscillatory mechanisms that guide fundamental decisions to exert effort for reward across BG and PFC, as well as supporting a causal role of PFC for such choices.

Affect-congruent attention modulates generalized reward expectations

Positive and negative affective states are respectively associated with optimistic and pessimistic expectations regarding future reward. One mechanism that might underlie these affect-related expectation biases is attention to positive- versus negative-valence features (e.g., attending to the positive reviews of a restaurant versus its expensive price). Here we tested the effects of experimentally induced positive and negative affect on feature-based attention in 120 participants completing a compound-generalization task with eye-tracking. We found that participants' reward expectations for novel compound stimuli were modulated in an affect-congruent way: positive affect induction increased reward expectations for compounds, whereas negative affect induction decreased reward expectations. Computational modelling and eye-tracking analyses each revealed that these effects were driven by affect-congruent changes in participants' allocation of attention to high- versus low-value features of compounds. These results provide mechanistic insight into a process by which affect produces biases in generalized reward expectations.

Community Cohesion, Social Support, and Mental Health among Black Individuals in Chicago: A Cross-Sectional Examination of the Effects on COVID-19 Vaccination

The COVID-19 pandemic put a significant strain on communities, social resources, and personal relationships, disproportionately impacting Black and low-income communities in the United States. Community cohesion and social support are positively associated with numerous health outcomes and preventive health measures, yet were strained during the pandemic due to COVID mitigation measures. This study examined the relationships between social cohesion, social support, mental health, and COVID-19 vaccination to understand whether community cohesion and social support were associated with increased likelihood of receiving a COVID-19 vaccination. Data are from a cross-sectional survey of 537 Black Chicagoans that was disseminated between September 2021 and March 2022. Structural equation modeling was used to test associations between community cohesion, social support, loneliness, anxiety, stress, and having received a COVID-19 vaccination. Results demonstrated that social support mediated associations between community cohesion and loneliness, anxiety, and stress, but was not associated with COVID-19 vaccination. These results demonstrate the importance of community cohesion and social support on mental health and suggest there are other potential pathways that may link community cohesion and vaccination.

Bibliometric Analysis of Research Areas, Publication Hierarchy and Gender Authorship in German University Orthopaedic Surgery

BACKGROUND

The aim of the present bibliometric study was to record the focus of publications, type of study and publication activities depending on the hierarchy level and gender of the authors of German university departments for orthopaedic surgery.

MATERIAL AND METHODS

The publication performance of the staff surgeons, consisting of chief and senior physicians, section and division heads of 39 German university departments of orthopaedic surgery university hospitals, was recorded over a period of 10 years (January 1, 2010 to December 31, 2019). All publications were considered that were listed in PubMed and for which the staff surgeons were first or last authors. In addition, the impact factor (IF) and the h-index were determined.

RESULTS

1739 (39.2%) publications were compiled by 180 staff surgeons of university departments for trauma surgery and 2699 (60.8%) publications by 343 surgeons in departments of orthopaedics and trauma surgery. Most publications were related to injuries or impairments of the lower extremity including the hip (n = 1626; 38.1%), followed by the upper extremity (n = 737; 17.3%). These publications focussed on diagnostic testing (25.5%), surgical techniques (19.1%) or special osteosyntheses (16.9%). The highest average IF per publication was achieved by publications on plastics (IF 2.02), on outcome (IF 1.96) and on diagnostic testing (IF 1.93). Heads of departments were first authors in 18.8%, senior physicians with management functions in 40.7% and senior physicians without management functions in 69% of papers and last authors in 81.2%, 49.3% and 31.0% of articles, respectively. 64 of 523 staff surgeons (12.2%) were women. 306 authors (6.1%) were women, corresponding to 4.8 authorships per female surgeon - significantly for male surgeons (10.3 authorships per male surgeon).

CONCLUSION

In the present study, among senior physicians with a management function, the share of publishing surgeons was 59.1% for women, but 85.5% for men. In contrast, in the group of senior physicians without management function female and male surgeons were almost equally represented (57.5% vs. 60.5%). It must therefore be asked whether the work life balance is more difficult to meet for women than for men with longer careers. Mentoring programs are required to support the publication activities of the increasing number of female applicants in the future.

Recurrence Quantification Analysis of Crowd Sound Dynamics

When multiple individuals interact in a conversation or as part of a large crowd, emergent structures and dynamics arise that are behavioral properties of the interacting group rather than of any individual member of that group. Recent work using traditional signal processing techniques and machine learning has demonstrated that global acoustic data recorded from a crowd at a basketball game can be used to classify emergent crowd behavior in terms of the crowd's purported emotional state. We propose that the description of crowd behavior from such global acoustic data could benefit from nonlinear analysis methods derived from dynamical systems theory. Such methods have been used in recent research applying nonlinear methods to audio data extracted from music and group musical interactions. In this work, we used nonlinear analyses to extract features that are relevant to the behavioral interactions that underlie acoustic signals produced by a crowd attending a sporting event. We propose that recurrence dynamics measured from these audio signals via recurrence quantification analysis (RQA) reflect information about the behavioral dynamics of the crowd itself. We analyze these dynamics from acoustic signals recorded from crowds attending basketball games, and that were manually labeled according to the crowds' emotional state across six categories: angry noise, applause, cheer, distraction noise, positive chant, and negative chant. We show that RQA measures are useful to differentiate the emergent acoustic behavioral dynamics between these categories, and can provide insight into the recurrence patterns that underlie crowd interactions.

Raising awareness of sex and gender bias in artificial intelligence and health

Historically, biomedical research has been led by and focused on men. The recent introduction of Artificial Intelligence (AI) in this area has further proven this practice to be discriminatory for other sexes and genders, more noticeably for women. To move towards a fair AI development, it is essential to include sex and gender diversity both in research practices and in the workplace. In this context, the Bioinfo4women (B4W) program of the Barcelona Supercomputing Center (i) promotes the participation of women scientists by improving their visibility, (ii) fosters international collaborations between institutions and programs and (iii) advances research on sex and gender bias in AI and health. In this article, we discuss methodology and results of a series of conferences, titled “Sex and Gender Bias in Artificial Intelligence and Health, organized by B4W and La Caixa Foundation from March to June 2021 in Barcelona, Spain. The series consisted of nine hybrid events, composed of keynote sessions and seminars open to the general audience, and two working groups with invited experts from different professional backgrounds (academic fields such as biology, engineering, and sociology, as well as NGOs, journalists, lawyers, policymakers, industry). Based on this awareness-raising action, we distilled key recommendations to facilitate the inclusion of sex and gender perspective into public policies, educational programs, industry, and biomedical research, among other sectors, and help overcome sex and gender biases in AI and health.

Gender Bias in Clinical Trial Enrollment: Female Authorship Matters

BACKGROUND

Despite initiatives to promote equal enrollment of human subjects in clinical trials, females continue to be underrepresented. The goal of this work is to determine if female enrollment in human clinical trials published in 3 high-impact journals from 2015 to 2019 is correlated with gender of first and/or senior authors.

METHODS

Clinical trials published in the Journal of the American Medical Association (JAMA), The Lancet, and the New England Journal of Medicine (NEJM) from January 1, 2015, to December 31, 2019, were reviewed. Trials were excluded for ongoing enrollment, sex-specific disease research, or author name without gender assignment. One-sample χ2 pairwise comparisons and two-tailed proportion tests on the proportion of females between gender author pairings were done overall and for each subset analysis.

RESULTS

In total, 1,427 articles enrolled a total of 2,104,509 females and 2,616,981 males (44.6% vs. 55.4%, P ≤ 0.0001) in clinical trials. Overall, more females were enrolled if both first and senior authors were female (51.7% vs. 48.3%, P ≤ 0.0001). Proportion of females enrolled decreased with the following first and senior author pairings: female-male (48.9%), male-female (48.6%), and male-male (40.5%, P ≤ 0.0001 compared to female-female authorship). Greater female enrollment in clinical trials with female-female compared to male-male authorship persisted in subset analyses by funding source, phase, randomization for study participants, drug and/or device trial, and geographic location. Female enrollment was higher in 3 surgical specialties: neurosurgery (all authors: 52%, P ≤ 0.01), ophthalmology (all authors: 53.6%, P ≤ 0.0001), and surgery (all authors: 54.4%, P ≤ 0.0001). The majority of surgical specialties did not publish trials with female-female authorship but when stratifying by author gender pairing, surgical oncology had the highest female enrollment with female-female authorship (98.4%, P ≤ 0.0001).

CONCLUSIONS

Female authorship of clinical trial publications, specifically having both first and senior authors as female, was correlated with higher female enrollment in clinical trials when compared to male authorship and endured with multiple subset analyses.

Network models to enhance the translational impact of cross-species studies

Neuroscience studies are often carried out in animal models for the purpose of understanding specific aspects of the human condition. However, the translation of findings across species remains a substantial challenge. Network science approaches can enhance the translational impact of cross-species studies by providing a means of mapping small-scale cellular processes identified in animal model studies to larger-scale inter-regional circuits observed in humans. In this Review, we highlight the contributions of network science approaches to the development of cross-species translational research in neuroscience. We lay the foundation for our discussion by exploring the objectives of cross-species translational models. We then discuss how the development of new tools that enable the acquisition of whole-brain data in animal models with cellular resolution provides unprecedented opportunity for cross-species applications of network science approaches for understanding large-scale brain networks. We describe how these tools may support the translation of findings across species and imaging modalities and highlight future opportunities. Our overarching goal is to illustrate how the application of network science tools across human and animal model studies could deepen insight into the neurobiology that underlies phenomena observed with non-invasive neuroimaging methods and could simultaneously further our ability to translate findings across species.

Breaking Barriers: Investigating Gender Representation in the First Authors of Cardiovascular Disease and Artificial Intelligence Publications

Introduction Artificial intelligence (AI) and cardiovascular diseases have resulted in significant advancements in healthcare and medical research. This study focused on examining the gender equality ratio of first authors in "artificial intelligence and cardiovascular disease" articles from 2005 to 2022. It is critical to investigate gender representation in this dynamic subject given the growing usage of AI in cardiovascular medicine. Aims The aim of this study is to visualize the changing face of gender equality within the field of artificial intelligence (AI) and cardiovascular diseases by examining the gender distribution of the first authors' published articles from 2005 to 2022, providing important insights into disparities in gender and the potential for fostering inclusivity and diversity in the scientific community. Methodology All academic articles published from 2005 to 2022 were reviewed. The gender of the first author of each study was recorded. Since there were so few articles available for five months in 2023, they were excluded. The research was subsequently categorized based on the gender, ethnicity, and country of origin of the first authors. Results With a value of 0.54, the overall gender ratio favored male authors (275) over female authors (149). In 2022, female first authors had the most publications (59), while male first authors contributed 113 articles. Predictions for 2027 showed a significant increase in the number of publications on this topic by male authors (950) and female authors (580). A gradual increase in the number of female first authors was observed over this period, although their representation remained lower compared to male first authors. Conclusions In the first authorship, our analysis found a gender gap, with male authors predominating. Females' engagement must be encouraged if academic gender equality is to be achieved. Female researchers are empowered by creating an inclusive atmosphere through mentorship and regulatory changes. For knowledge to advance fairly, collaboration is essential.

Prenatal environment is associated with the pace of cortical network development over the first three years of life

Environmental influences on brain structure and function during early development have been well-characterized. In pre-registered analyses, we test the theory that socioeconomic status (SES) is associated with differences in trajectories of intrinsic brain network development from birth to three years (n = 261). Prenatal SES is associated with developmental increases in cortical network segregation, with neonates and toddlers from lower-SES backgrounds showing a steeper increase in cortical network segregation with age, consistent with accelerated network development. Associations between SES and cortical network segregation occur at the local scale and conform to a sensorimotor-association hierarchy of cortical organization. SES-associated differences in cortical network segregation are associated with language abilities at two years, such that lower segregation is associated with improved language abilities. These results yield key insight into the timing and directionality of associations between the early environment and trajectories of cortical development.

Network structure influences the strength of learned neural representations

Human experience is built upon sequences of discrete events. From those sequences, humans build impressively accurate models of their world. This process has been referred to as graph learning, a form of structure learning in which the mental model encodes the graph of event-to-event transition probabilities [1], [2], typically in medial temporal cortex [3]-[6]. Recent evidence suggests that some network structures are easier to learn than others [7]-[9], but the neural properties of this effect remain unknown. Here we use fMRI to show that the network structure of a temporal sequence of stimuli influences the fidelity with which those stimuli are represented in the brain. Healthy adult human participants learned a set of stimulus-motor associations following one of two graph structures. The design of our experiment allowed us to separate regional sensitivity to the structural, stimulus, and motor response components of the task. As expected, whereas the motor response could be decoded from neural representations in postcentral gyrus, the shape of the stimulus could be decoded from lateral occipital cortex. The structure of the graph impacted the nature of neural representations: when the graph was modular as opposed to lattice-like, BOLD representations in visual areas better predicted trial identity in a held-out run and displayed higher intrinsic dimensionality. Our results demonstrate that even over relatively short timescales, graph structure determines the fidelity of event representations as well as the dimensionality of the space in which those representations are encoded. More broadly, our study shows that network context influences the strength of learned neural representations, motivating future work in the design, optimization, and adaptation of network contexts for distinct types of learning over different timescales.

Examining the Relationship between Anti-Black Racism, Community and Police Violence, and COVID-19 Vaccination

In 2020, the COVID-19 pandemic emerged against a backdrop of long-standing racial inequities that contributed to significant disparities in COVID-19 mortality, morbidity, and eventually, vaccination rates. COVID-19 also converged with two social crises: anti-Black racism and community and police violence. The goal of this study was to examine the associations between community violence, police violence, anti-Black racism, and COVID-19 vaccination. Survey data were collected from a sample of 538 Black residents of Chicago between September 2021 and March 2022. Structural equation modeling was used to test associations between neighborhood violence, police violence, racism, medical mistrust, trust in COVID-related information, depressive symptoms, and having received a COVID-19 vaccination. In line with predictions, neighborhood violence had a significant indirect effect on vaccination via trust in COVID-related information from a personal doctor. Additionally, racism had a significant indirect effect on vaccination via trust in COVID-related information from a personal doctor, as well as via medical mistrust and trust in COVID-related information from a personal doctor. These findings add to the growing body of literature demonstrating the importance of medical mistrust when examining COVID-19 vaccination disparities. Furthermore, this study highlights the importance of considering how social and structural factors such as violence and racism can influence medical mistrust.

Distribution of Female and Male First and Last Authorship across Drug Delivery Related Journals with Respect to Year and Journal Impact Factor

First and last authorship are important metrics of productivity and scholarly success for trainees and professors. For 11 drug delivery-related journals in 2021, the percentage of female first (39.5%) and last (25.7%) authorship was reported. A strong negative correlation, with female first (rp = -0.73) and female last authorship (rp = -0.66), was observed with respect to journal impact factor. In contrast, there was a strong positive correlation with male first and last authorship (rp = 0.71). Papers were ∼1.5 times more likely to have a male first author, and ∼3 times more likely to have a male last author, than females. A female was 22% more likely to have first authorship if the last author was female, although there is an ∼1% increase per year in female authorship with male last authorship, which equates to equality in first authorship by 2044. Considering that drug delivery is composed of engineering, chemistry, and pharmaceutical science disciplines, the observed 25.7% female last authorship does not represent the approximately 35.5% to 50% of professors that are female in these disciplines, internationally. Overall, female authorship in drug delivery-related journals should improve to better represent the work of female senior authors.

Why and how to incorporate issues of race/ethnicity and gender in research integrity education

With the increasing focus on issues of race/ethnicity and sex/gender1 across the spectrum of human activity, it is past time to consider how instruction in research integrity should incorporate these topics. Until very recently, issues of race/ethnicity and sex/gender have not typically appeared on any conventional lists of research integrity or responsible conduct of research (RCR) topics in the United States or, likely, other countries as well.2 However, I argue that not only can we incorporate these issues, we should do so to help accomplish some of the central goals of instruction in research integrity. I also offer some initial suggestions about where and how to incorporate them within familiar topics of instruction.

The scientific director: A complimentary model for academic leadership

The current model for academic leadership places unique demands on scientists with highly active research programs. A complimentary model with a dedicated scientific director could remove this strain and allow a greater institutional investment in the community via a partnership. This article explores the rationale and framework of this model.

"The Fight is Two Times as Hard": A Qualitative Examination of a Violence Syndemic Among Young Black Sexual Minority Men

Young Black men who have sex with men (YBMSM) are disproportionately impacted by violence, including violence rooted in anti-Black racism, sexual identity bullying, and neighborhood violence rooted in structural racism and inequities. These multiple forms of violence are frequently co-occurring and interactive creating syndemic conditions that can negatively impact HIV care. This qualitative study is based on in-depth interviews with 31 YBMSM, aged 16-30 years, living with HIV in Chicago, IL, to examine how violence has impacted their lives. Using thematic analysis, we identified five themes that reflect how YBMSM experience violence at the intersection of racism, homonegativity, socioeconomic status, and HIV status: (a) the experience of intersectional violence; (b) long histories of violence contributed to hypervigilance, lack of safety, and lack of trust; (c) making meaning of violence and the importance of strength; (d) normalizing violence for survival; and (e) the cyclical nature of violence. Our study highlights how multiple forms of violence can accumulate across an individual's life and contribute to social and contextual situations that further contribute to violence and negatively impact mental health and HIV care.

The COVID-19, racism, and violence syndemic: Evidence from a qualitative study with Black residents of Chicago

The COVID-19 pandemic emerged in the United States in the shadows of a vast history of structural racism and community and police violence that disproportionately affect Black communities. Collectively, they have created a syndemic, wherein COVID-19, racism, and violence are mutually reinforcing to produce adverse health outcomes. The purpose of this study was to understand the COVID-19, racism, and violence syndemic and examine how structural racism and violence contributed to the disproportionate impact of COVID-19 on Black communities. In early 2021, we conducted phenomenological qualitative interviews with 50 Black residents of Chicago. Interview transcripts were coded and analyzed using thematic analysis. We identified four primary themes in our analyses: 1) the intersection of racism and violence in Chicago; 2) longstanding inequities were laid bare by COVID-19; 3) the pervasiveness of racism and violence contributes to poor mental health; 4) and COVID-19, racism and violence emerged as a syndemic. Our findings underscore the importance of addressing social and structural factors in remediating the health and social consequences brought about by COVID-19.

Analysis of Racial and Gender Distribution of US-Doctor of Medicines Graduates Entering Into General Surgery and Surgical Subspecialties' Residencies: The Need for Effective & Sustainable Diversity, Equity, and Inclusion Strategies

INTRODUCTION

We aim to investigate disparities & inequities based on race, sex, graduating age, and the number of peer-reviewed publications among allopathic U.S. Doctor of Medicine graduates who reported entering a surgical training program over a span of 5 y.

METHODS

A retrospective cohort analysis of the Association of American Medical Colleges student records system and Electronic Residency Application Service for graduates entering a surgical specialty residency during graduate medical education training cycles 2015-2020.

RESULTS

African American, Asian, and Hispanic applicants each accounted for less than 1% of graduates who reported entering a surgical training program. Asians (OR = 0.58, P = 0.01) and those identifying as other races (OR = 0.74, P = 0.01) were significantly less likely to enter a surgical subspecialty when compared to Caucasians. Orthopedic surgery contained the lowest proportion of minorities; African Americans 0.5% (n = 18), Asians 0.3% (n = 11), Hispanics 0.1% (n = 4), and others with 2% (n = 68). Females who reported entering Orthopedic surgery training represented the smallest female population in surgical specialties (17%, n = 527). The number of peer-reviewed publications was significantly associated with male sex (β = 0.28, P < 0.01), age between 30 and 32 at graduation (β = 1.76, P < 0.01), and identification as other races (β = 1.53, P < 0.01).

CONCLUSIONS

Racial minorities represented only 5.1% of graduates who reported entering a surgical specialty graduate medical education training program. Minority races and females were significantly less likely to enter a surgical subspecialty training program compared to Caucasian graduates and males, especially in orthopedic surgery. Implementation of specialty-specific programs and diversity, equity, and inclusion departments that promote mentorship and guidance toward residency programs is needed to combat continued race and sex disparities.

Targeted Discovery of Low-Coordinated Crystal Structures via Tunable Particle Interactions

Particles interacting via isotropic, multiwell pair potentials have been shown to self-assemble into a range of crystal structures, yet how the characteristics of the underlying interaction potential give rise to the resultant structure remains largely unknown. We have thus developed a functional form for the interaction potential in which all features can be tuned independently. We perform continuous parameter space searches by systematically changing pairs of parameters, controlling the various features of the interaction potential. By enforcing a repulsive first well (controlling particle interactions of the first neighbor shell), we stimulate the formation of low-coordinated assemblies. We report the self-assembly of 20 previously unknown crystal structure types, 14 of which have low coordination numbers. Despite limiting the search to a small region of the vast parameter space of possible particle interactions, a wealth of complexity and symmetry is apparent within these crystal structures, which include clathrates with empty cages and low-symmetry structures. Our findings suggest that an unknown number of previously undiscovered crystal structure configurations are possible through self-assembly, which can serve as interesting design targets for soft condensed matter synthesis.

Gender differences in animal cognition science

Women's representation in science is increasing steadily, with some fields closing gender parity in terms of participation and scientific output. Animal cognition appears to fall into that category. Our current analysis of gender author balance (women versus men) in 600 animal cognition papers supported parity in many aspects, but also revealed some remaining disparities. Women animal cognition scientists often held first authorship positions (58% of the studies), received similar numbers of citations, and published in equally high impact factor journals as men. Women were still under represented in last-author position, which often reflects seniority status (37% of last authors were women). There were interesting results when we considered the gender of teams (of two or more authors): all-women author teams were the minority in our dataset and received on average fewer citations than all men or mixed author teams, regardless of the quality of the journal (as measured by the journal's impact factor). Women more often focussed on mammals, whereas men more often focussed on fish, both as first authors and as same-gender teams. Men, as first author or in men-only teams, restricted their research more often to organisms of a single sex, compared to women, as first author and as members of a team. Our study suggests that there are many indices of the significant contribution of both women and men scientists in animal cognition, although some gender biases may remain.

Practice patterns of female cardiothoracic surgeons older than age 58 years: Are we making progress?

OBJECTIVE

Women remain a small minority of cardiothoracic surgeons, and within adult cardiac surgery, the gender gap widens. This study examines the career pathway and trajectory of female adult cardiac surgeons.

METHODS

Female cardiothoracic surgeons were identified from the American Board of Thoracic Surgery diplomates over 58 years. Publicly available information was obtained to determine years in practice, practice type, academic and leadership title(s), and location of practice.

RESULTS

The average number of years in practice for female adult cardiac surgeons was 13.1. Those categorized as adult cardiac surgeons composed 25.4% (n = 90) of all female cardiothoracic diplomates and 134 (37.9%) were categorized as other subspecialty practice. Of the adult cardiac surgeons, 33.3% (n = 30) practiced privately and the remainder in academic practice. Academic titles were held by 47.8% (43 out of 90) and 30% (27 out of 90) held a position of leadership. Of those in academic practice, 25% (11 out of 42) are titled professor, whereas 43% (18 out of 42) are assistant professors. Most commonly, those in positions of leadership held the title "director," which reflects 37% (10 out of 27) of individuals. Practice locations were distributed throughout the United States, with the highest number in the northeast (26.7%).

CONCLUSIONS

Only a small portion of female cardiothoracic surgeons pursue a career in adult cardiac surgery compared to their male counterparts. From 1999 to 2009, 1300 individuals were board certified cardiothoracic surgeons, of whom only 103 (7.9%) were female. Of these, the majority of female cardiothoracic surgeons entered academic practice. Although the overall number of practicing female adult cardiac surgeons has increased with a growth rate of 10.7%, this number remains extremely low. A discrepancy remains between gender representation of academic titles and leadership positions. Although the field has increased female representation over the past few decades, work remains to ensure all potential talent is encouraged and supported.

Quantifying trial-by-trial variability during cortico-cortical evoked potential mapping of epileptogenic tissue

OBJECTIVE

Measuring cortico-cortical evoked potentials (CCEPs) is a promising tool for mapping epileptic networks, but it is not known how variability in brain state and stimulation technique might impact the use of CCEPs for epilepsy localization. We test the hypotheses that (1) CCEPs demonstrate systematic variability across trials and (2) CCEP amplitudes depend on the timing of stimulation with respect to endogenous, low-frequency oscillations.

METHODS

We studied 11 patients who underwent CCEP mapping after stereo-electroencephalography electrode implantation for surgical evaluation of drug-resistant epilepsy. Evoked potentials were measured from all electrodes after each pulse of a 30 s, 1 Hz bipolar stimulation train. We quantified monotonic trends, phase dependence, and standard deviation (SD) of N1 (15-50 ms post-stimulation) and N2 (50-300 ms post-stimulation) amplitudes across the 30 stimulation trials for each patient. We used linear regression to quantify the relationship between measures of CCEP variability and the clinical seizure-onset zone (SOZ) or interictal spike rates.

RESULTS

We found that N1 and N2 waveforms exhibited both positive and negative monotonic trends in amplitude across trials. SOZ electrodes and electrodes with high interictal spike rates had lower N1 and N2 amplitudes with higher SD across trials. Monotonic trends of N1 and N2 amplitude were more positive when stimulating from an area with higher interictal spike rate. We also found intermittent synchronization of trial-level N1 amplitude with low-frequency phase in the hippocampus, which did not localize the SOZ.

SIGNIFICANCE

These findings suggest that standard approaches for CCEP mapping, which involve computing a trial-averaged response over a .2-1 Hz stimulation train, may be masking inter-trial variability that localizes to epileptogenic tissue. We also found that CCEP N1 amplitudes synchronize with ongoing low-frequency oscillations in the hippocampus. Further targeted experiments are needed to determine whether phase-locked stimulation could have a role in localizing epileptogenic tissue.

Gender-gap in randomized clinical trials reporting mortality in the perioperative setting and critical care: 20 years behind the scenes

Background

Women researchers might experience obstacles in academic environments and might be underrepresented in the authorship of articles published in peer-reviewed journals.

Material and Methods

This is a cross-sectional analysis of female-led RCTs describing all interventions reducing mortality in critically ill and perioperative patients from 1981 to December 31, 2020. We searched PubMed/MEDLINE and EMBASE with the keywords RCTs and mortality. The gender of the first author was extracted and descriptive analysis was performed including the year of publication, impact factor, country of the first author, and methodological aspects.

Results

We analyzed 340 RCTs, of which 42 (12%) were led by female researchers. The presence of women increased from 8% (14/172) until 2010 up to 17% (28/168) in 2010 and beyond. The United States, the United Kingdom, and Brazil were the main countries of origin of female researchers. Women authors conducted mainly single-center and single-nation studies as compared to male authors. The median impact factor of the target journal was 6 (3-27) in women vs. 7 (3-28) in men, with a p-value of 0.67; Critical Care Medicine, JAMA, and The New England Journal of Medicine were the most frequent target journals for both women and men.

Conclusion

In the last 40 years, only one out of eight RCTs had a woman as the first author but the presence of women increased up to 17% by 2010 and beyond. The impact factor of publication target journals was high and not different between genders.

Angiotensin II Increases Oxidative Stress and Inflammation in Female, But Not Male, Endothelial Cells

Introduction

Women are at elevated risk for certain cardiovascular diseases, including pulmonary arterial hypertension, Alzheimer's disease, and vascular complications of diabetes. Angiotensin II (AngII), a circulating stress hormone, is elevated in cardiovascular disease; however, our knowledge of sex differences in the vascular effects of AngII are limited. We therefore analyzed sex differences in human endothelial cell response to AngII treatment.

Methods

Male and female endothelial cells were treated with AngII for 24 h and analyzed by RNA sequencing. We then used endothelial and mesenchymal markers, inflammation assays, and oxidative stress indicators to measure female and male endothelial cell functional changes in response to AngII.

Results

Our data show that female and male endothelial cells are transcriptomically distinct. Female endothelial cells treated with AngII had widespread gene expression changes related to inflammatory and oxidative stress pathways, while male endothelial cells had few gene expression changes. While both female and male endothelial cells maintained their endothelial phenotype with AngII treatment, female endothelial cells showed increased release of the inflammatory cytokine interleukin-6 and increased white blood cell adhesion following AngII treatment concurrent with a second inflammatory cytokine. Additionally, female endothelial cells had elevated reactive oxygen species production compared to male endothelial cells after AngII treatment, which may be partially due to nicotinamide adenine dinucleotide phosphate oxidase-2 (NOX2) escape from X-chromosome inactivation.

Conclusions

These data suggest that endothelial cells have sexually dimorphic responses to AngII, which could contribute to increased prevalence of some cardiovascular diseases in women.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12195-023-00762-2.

Gender Discrepancies in Middle Author Publications in US Academic General Surgery

INTRODUCTION

To explore gender discrepancies in publications at general surgery departments, we performed a cross-sectional comparing the number of women and men at each academic rank and their number of first author (FA), middle author (MA), last author (LA), and total publications.

METHODS

Thirty academic general surgery departments were randomly selected. For each faculty, we tabulated: first, middle, last names, gender, academic rank, educational leadership, year of medical school graduation, and additional graduate degrees. Bibliography, H-index, and citations were downloaded from the Scopus database.

RESULTS

One thousand three hundred twenty-six faculty sampled, 881 (66.4%) men and 445 (33.5%) women. Men outnumbered women at all ranks, with increasing disparity at higher ranks. Men outnumbered women in all subspecialties-largest difference in transplant surgery (84.4% versus 15.6%, P < 0.001). Men at all ranks had more MA publications: assistant professor (rate ratio 1.20; 95% confidence interval, 1.01-1.43, P = 0.024), associate professor (1.65; 1.31-2.06, P < 0.001), and professor (1.50; 1.20-1.91, P = 0.008). Men associate professors had more LA publications (1.74; 1.34-2.37, P < 0.001). No differences found in FA publications at any rank, nor LA publications at assistant professor and professor ranks. At subspecialty level, men in surgical oncology (1.95; 1.55-2.45, P < 0.001) and transplant surgery (1.70; 1.09-2.66, P = 0.02) had more MA publications.

CONCLUSIONS

While FA and LA publications did not differ significantly across genders, the largest difference lies in MA publications, beginning at junior ranks and persisting with seniority. Discrepancies in MA publications may reflect gender discrepancies in collaborative opportunities, hence total publications should be used cautiously when determining academic productivity.

Gender differences in pulmonology and critical care authorship and editorial boards

OBJECTIVE

This study aims to characterize the gender distribution of first authors, senior authors, and editorial board members across several high-impact factor journals in PCCM.

METHODS

In this cross-sectional study, we analysed gender disparities in critical care authorship and editorial boards, based on publications from 1 January 2019 to 31 December 2021 from the top 20 high impact journals based on the Journal of Citation Reports.

RESULTS

Among 20 journals (median impact factor of 6.66), 25% of editors-in-chief and 28.8% of editorial board members were female. From 2019 to 2021, a total of 23,994 articles were published. Female first authors and last authors made up 29.1% and 21.2% of the authorship, respectively (n = 6637 articles).

CONCLUSIONS

Our study demonstrates significant gender disparities in critical care authorship and editorial boards, with males predominantly filling the roles of editors in chief, editorial members, and first and senior authors. Despite this significant difference in gender distribution, there was no statistically significant correlation between authorship and editor gender.