Harnessing the True Power of Altmetrics to Track Engagement

The Top Ranked 101 Articles in Pediatric Surgical Journals from an Altmetric Perspective

INTRODUCTION

 In the era of scientific digitalization, online media platforms gain increasing popularity to accomplish research output awareness. The Altmetric Attention Score AAS weights these online mentions based on a privy algorithm. We aimed to characterize the top 100 articles with the highest (AAS) published in pediatric surgery journals.

MATERIALS AND METHODS

 Publications from six core pediatric surgery journals were retrieved from www.altmetric.com in January 2023 and ranked by their AAS. The top 101 publications were analyzed for their bibliometric measures, study design, and quality as well as online media mentions.

RESULTS

 The top 101 AAS articles were published between 1974 and 2022, preferentially from the United States (64%) and mainly in Journal of Pediatric Surgery (73%), followed by Journal of Pediatric Surgery Case Reports, Pediatric Surgery International, Seminars in Pediatric Surgery, and European Journal of Pediatric Surgery. Their AAS ranged between 21 and 389 (median: 33), with Twitter/X being mostly responsible for online mentions (n = 2,189; 75%). The number of citations in peer-reviewed journals ranged between 0 and 358 (median: 16) and did not correlate to AAS. Retrospective study design (33%) with low evidence level IV (43%) dominated.

CONCLUSION

 The Journal of Pediatric Surgery is the main source of high-profile AAS publications in pediatric surgery. The altmetric popularity of articles is predominantly achieved by their propagation via X, irrespective of the study quality and recognition in the scientific community. Thus, active "twitterism" may play the key role to reach high AAS scores.

The correlation between altmetric score and traditional measures of article impact for studies pertaining to spine trauma

PURPOSE

It is becoming increasingly common for researchers to share scientific literature via social media. Traditional bibliometrics have long been utilized to measure a study's academic impact, but they fail to capture the impact generated through social media sharing. Altmetric Attention Score (AAS) is a weighted count of all the online attention garnered by a study, and it is currently unclear whether a relationship with traditional bibliometrics exists.

METHODS

We identified the five highest-rated spine-specific and five highest-rated general orthopedic journals by Scopus CiteScore 2020. We then identified all the spine trauma studies across a 5-year span (2016-2020) within these journals and compared AAS with traditional bibliometrics using Independent t-tests and Pearson's correlational analyses.

RESULTS

No statistically significant relationships were identified between AAS and traditional bibliometrics for articles pertaining to spine trauma: Level of Evidence (R = - 0.02, p = 0.34), H-Index Primary Author (R =  < - 0.01, p = 0.50), H-Index Senior Author (R = - 0.04, p = 0.24), and Number of Citations (R = 0.01, p = 0.40). The top five articles by AAS include those pertaining to motorcycle injuries (AAS = 687), orthosis in thoracolumbar fractures (AAS = 199), golfing injuries (AAS = 166), smartphone-based teleradiology (AAS = 41), and auto racing injuries (AAS = 39).

CONCLUSION

The lack of overlap between these types of metrics suggests that AAS or similar alternative metrics should be used to measure an article's social impact. The social impact of an article should likewise be a factor in determining an article's overall impact along with its academic impact as measured by bibliometrics.

Comparative assessment of scientific reach and utilization of the International Association of Dental Traumatology 2020 guidelines: An altmetric and citation analysis

BACKGROUND/AIM

The updated version of the International Association of Dental Traumatology (IADT) guidelines was published online in May 2020 in the form of four papers. They are extensively used in dental trauma education in textbooks, undergraduate and postgraduate programs, and clinical workshops. Hence, this study aimed to assess the impact, global scientific reach, and utilization of these guidelines through altmetric and citation analysis.

MATERIAL AND METHODS

The protocol was prepared after an expert group discussion. Dimensions database was used to derive the altmetric and citation data on April 10th, 2023. The data was extracted by using a self-designed pre-piloted form by two authors independently. The citing articles were further categorized into the type of study and the domains and subdomains of dental traumatology. The VOSviewer program was utilized to explore the correlation between the subdomains and the overlap of citations was assessed by creating a citation matrix.

RESULTS

A total of 552 citations had been collectively received by the four papers. The highest was seen for the guidelines for fracture and luxation in permanent teeth (FL), avulsion in permanent teeth (AV), general introduction (GI), and primary teeth (PT). Dental Traumatology had the maximum number of citing papers for each guideline. They were from 52 countries with English being the commonest language. Overall, the maximum number of citations had been received in narrative reviews (n = 104) and the majority of cited papers were categorized in the therapeutic domains. The most common subdomain for the papers that cited GI, FL, and AV was "treatment protocols in permanent teeth", while it was "awareness of prevention and emergency management of traumatic dental injuries" for the papers that had cited PT.

CONCLUSIONS

This analysis highlighted that the IADT 2020 guidelines are globally popular resources, which are widely used by the researchers across specialities and are intended towards clinical application.

The correlation between altmetric score and traditional measures of article impact for studies published within the Surgeon Journal

Alternative metrics, or altmetrics, have emerged as a promising tool for measuring the social impact of research, which is increasingly important in today's digital and social media-driven world. Altmetric Attention Score (AAS) is a weighted count of all the online attention garnered by a study, and it is currently unclear whether a relationship with traditional bibliometrics exists. The purpose of this article was to retrospectively review articles published in the Surgeon Journal from 2003 to 2020 to compare AAS with bibliometric parameters using an Independent t-test and Pearson's correlation analysis. There were statistically significant weakly positive relationships between AAS and sample size, number of reads, and number of citations. There was no statistically significant relationship between AAS and number of authors, H-index, or level of evidence. This study highlights the potential value of altmetrics by measuring the social impact of research as altmetrics can provide valuable information not captured by traditional metrics. It is currently unclear what the optimal balance of social and academic impact is in evaluating research impact and how altmetrics can be integrated into existing research frameworks.

Social networks in radiology: Toward a new paradigm in medical education?

The universally accepted system for the transmission of scientific knowledge in the field of medicine has long been grounded in scientific publications. Social networks can be a useful alternative or complementary method of transmitting this knowledge. Social networks (e.g., Twitter, Instagram, Facebook, LinkedIn, YouTube, and TikTok) generate educational contents that enable quality training, despite their informality. Each of these networks has strengths and weaknesses that users should know about. These platforms are free and allow for real-time discussion. They make it easy to incorporate content and to contact experts or access sources of knowledge directly. Aware of their influence, publishers have incorporated metrics to measure the impact of their articles in social networks (Altmetrics). These networks should be incorporated into departmental training programs immediately. Nevertheless, navigating through social networks is complex, and the hashtag-based system of searching is inefficient, limiting their use in education. Despite the informality of the knowledge generated on social networks, the importance of these networks as a source of knowledge is growing. Radiology departments must design a strategy for using social networks for education rather than for propaganda, creating well-organized focal groups that search for contents through systematic, filtered review of information, digital repositories, and review sessions and for sharing this knowledge both inside and outside the department. Departments must also implement a strategy for communicating through these networks.

Tweeting for Success: The Role of Twitter in Enhancing SCImago Journal Rank for Specialty Surgical Journals

Background The cornerstone of surgical education and practice is the surgical journal, but the ability to disperse the vital information within their pages had previously been limited. The use of Twitter by surgical journals has increased in recent years and has allowed these journals to reach a wider audience than they previously could. In this article, we discuss the role Twitter engagement has on a journal's impact factor, visibility, and prestige. Methods The authors compiled a list of journals using the SciMago Journal and Country rank platform. Included journals' Twitter profiles were then assessed using Twitonomy, an online platform that collects and processes data regarding individual Twitter profiles. Statistical analysis was conducted to determine the relationship between Twitter use and SCImago Journal Rank (SJR). Results Simple linear regression and multiple linear regression models determined that the only variables that had a statistically significant impact on all journals were the age of the Twitter account (p=0.003) and the percentage of retweets (p=0.001). When it comes to specialty-specific journals, further analysis showed that the only significant factor regarding its impact on SJR was the percentage of retweets (p=0.007). Conclusions Surgical journals' regular use of Twitter is important in the dissemination of important information to a wide audience. This article shows that the most important variable to determine the impact and visibility of a surgical journal is the percentage of retweets. Further research should be performed to better understand how to use Twitter and other social media platforms to reach a larger audience.

Measuring altmetric events: the need for longer observation period and article level computations

Purpose

This paper aims to explore the impact of the data observation period on the computation of altmetric measures like velocity index (VI) and half-life. Furthermore, it also attempts to determine whether article-level computations are better than computations on the whole of the data for computing such measures.

Design/methodology/approach

The complete publication records for the year 2016 indexed in Web of Science and their altmetric data (original tweets) obtained from PlumX are obtained and analysed. The creation date of articles is taken from Crossref. Two time-dependent variables, namely, half-life and VI are computed. The altmetric measures are computed for all articles at different observation points, and by using whole group as well as article-level averaging.

Findings

The results show that use of longer observation period significantly changes the values of different altmetric measures computed. Furthermore, use of article-level delineation is advocated for computing different measures for a more accurate representation of the true values for the article distribution.

Research limitations/implications

The analytical results show that using different observation periods change the measured values of the time-related altmetric measures. It is suggested that longer observation period should be used for appropriate measurement of altmetric measures. Furthermore, the use of article-level delineation for computing the measures is advocated as a more accurate method to capture the true values of such measures.

Practical implications

The research work suggests that altmetric mentions accrue for a longer period than the commonly believed short life span and therefore the altmetric measurements should not be limited to observation of early accrued data only.

Social implications

The present study indicates that use of altmetric measures for research evaluation or other purposes should be based on data for a longer observation period and article-level delineation may be preferred. It contradicts the common belief that tweet accumulation about scholarly articles decay quickly.

Originality/value

Several studies have shown that altmetric data correlate well with citations and hence early altmetric counts can be used to predict future citations. Inspired by these findings, majority of such monitoring and measuring exercises have focused mainly on capturing immediate altmetric event data for articles just after the publication of the paper. This paper demonstrates the impact of the observation period and article-level aggregation on such computations and suggests to use a longer observation period and article-level delineation. To the best of the authors’ knowledge, this is the first such study of its kind and presents novel findings.

Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) via CiteSpace and VOSviewer

Objective

Using visual bibliometric analysis, the application and development of artificial intelligence in clinical esophageal cancer are summarized, and the research progress, hotspots, and emerging trends of artificial intelligence are elucidated.

Methods

On April 7th, 2022, articles and reviews regarding the application of AI in esophageal cancer, published between 2000 and 2022 were chosen from the Web of Science Core Collection. To conduct co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references, and keywords in this field, VOSviewer (version 1.6.18), CiteSpace (version 5.8.R3), Microsoft Excel 2019, R 4.2, an online bibliometric platform (http://bibliometric.com/) and an online browser plugin (https://www.altmetric.com/) were used.

Results

A total of 918 papers were included, with 23,490 citations. 5,979 authors, 39,962 co-cited authors, and 42,992 co-cited papers were identified in the study. Most publications were from China (317). In terms of the H-index (45) and citations (9925), the United States topped the list. The journal “New England Journal of Medicine” of Medicine, General &amp; Internal (IF = 91.25) published the most studies on this topic. The University of Amsterdam had the largest number of publications among all institutions. The past 22 years of research can be broadly divided into two periods. The 2000 to 2016 research period focused on the classification, identification and comparison of esophageal cancer. Recently (2017-2022), the application of artificial intelligence lies in endoscopy, diagnosis, and precision therapy, which have become the frontiers of this field. It is expected that closely esophageal cancer clinical measures based on big data analysis and related to precision will become the research hotspot in the future.

Conclusions

An increasing number of scholars are devoted to artificial intelligence-related esophageal cancer research. The research field of artificial intelligence in esophageal cancer has entered a new stage. In the future, there is a need to continue to strengthen cooperation between countries and institutions. Improving the diagnostic accuracy of esophageal imaging, big data-based treatment and prognosis prediction through deep learning technology will be the continuing focus of research. The application of AI in esophageal cancer still has many challenges to overcome before it can be utilized.

Designing Infographics: Visual Representations for Enhancing Education, Communication, and Scientific Research

Infographics are graphic visual representations of educational content, used to deliver complex information, disseminate scientific research, and drive behavioral change. Herein, we review some of the factors pertinent to designing infographics and the potential for automation in the future. To guide high-impact design, it is vital to clearly define the objectives of the infographic and its target audience. Designing an effective infographic necessitates careful consideration of the layout, colors, font, and context. More recently, technical support to develop infographics are increasingly available through online software (Canva, Adobe, and Venngage) and emerging artificial intelligence programs. References can also become a visual representation of trends in scientific discovery. It is crucial for clinicians, researchers and scientists to have the knowledge and skills to design compelling infographics. In the era of social media, the uptake and effects of infographics for disseminating scientific research and public health education need to be further studied to understand their full potential.