Impact factor correlations with Scimago Journal Rank, Source Normalized Impact per Paper, Eigenfactor Score, and the CiteScore in Radiology, Nuclear Medicine & Medical Imaging journals

Use of Artificial Pancreas in the Management of Diabetes Mellitus: A Bibliometric Study

Objectives

To describe the trends and characteristics of the worldwide scientific production on the use of artificial pancreas (AP) in the management of diabetes mellitus (DM).

Materials and Methods

Scientific papers published between 2017 and 2022 were retrieved from the Scopus database using relevant keywords. Only original articles, reviews, and short surveys were included. The metadata were exported to the SciVal software for retrieving quantitative data and the main characteristics such as journals, authors, institutions, journal metrics by quartiles, subcategories, and collaborative networks were extracted.

Results

A total of 642 articles were included after applying the inclusion/exclusion criteria: original articles, 489; reviews, 151; and short surveys, 2. The most common type of collaboration was at the national level (38.3%; citations per publication: 22.3; field-weighted citation index [FWCI]: 2.2) followed by international collaboration (29.4%; citations per publication: 19.6; FWCI: 1.94). More than 70% of articles in each year were published in journals listed in Q1. Two journals, Diabetes Technology and Therapeutics and Journal of Diabetes Science and Technology, accounted for about 22% of all publications. Six of the top 10 universities were from the United States, with The University of Virginia having the most publications (n = 54; 59 authors; citations per publication: 38.4; FWCI: 3.73).

Conclusions

The findings of this study highlight that most research on this topic is published in high-quality journals and has a good citation impact. Notably, most research has been conducted in developed countries, thereby indicating the need for research efforts in this field from developing countries.

A Bibliometric Study on the Top 101 Most-Cited Articles of Dental Journals of the Middle East/North Africa Countries From 2011 to 2021

Introduction: This retrospective descriptive study evaluated the Scopus-indexed dental journals and their most-cited documents affiliated with the Middle East and North Africa (MENA) countries from 2011 to 2021. Methods: Dental journals affiliated with MENA countries, their bibliometric indicators (SJR, CiteScore, SNIP, and H-index), and the 101 most cited articles of the considered journals were extracted and studied through descriptive statistics. In addition, the "citation per year" of each top 101 articles was calculated. Spearman's rho test was used for pairwise comparisons of the correlation coefficient values between each two of the considered bibliometric indicators. Results: The number of citations of the 101 most-cited papers ranged from 35 to 203. The mean (SD) citations of studied articles were 61.33 (37.58) and the median was 46. Furthermore, CiteScore had the highest significant correlation with SJR (r=0.828, P˂0.001). Moreover, the citation per year of the top 101 documents had no significant relationship with any of the journals' bibliometric indicators. Conclusion: Because journal performance and citation rate are multi-dimensional concepts, a single metric cannot express them thoroughly despite correlations between indices. "European Journal of Dentistry" from Turkey, "Saudi Dental Journal" from Saudi Arabia, and "Iranian Endodontic Journal" and "Journal of Lasers in Medical Sciences" both from Iran had the highest ranks in the SCImago portal and the highest scores in bibliometric indices amongst the MENA dental journals.

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis

BACKGROUND

Strategies to improve the selection of appropriate target journals may reduce delays in disseminating research results. Machine learning is increasingly used in content-based recommender algorithms to guide journal submissions for academic articles.

OBJECTIVE

We sought to evaluate the performance of open-source artificial intelligence to predict the impact factor or Eigenfactor score tertile using academic article abstracts.

METHODS

PubMed-indexed articles published between 2016 and 2021 were identified with the Medical Subject Headings (MeSH) terms "ophthalmology," "radiology," and "neurology." Journals, titles, abstracts, author lists, and MeSH terms were collected. Journal impact factor and Eigenfactor scores were sourced from the 2020 Clarivate Journal Citation Report. The journals included in the study were allocated percentile ranks based on impact factor and Eigenfactor scores, compared with other journals that released publications in the same year. All abstracts were preprocessed, which included the removal of the abstract structure, and combined with titles, authors, and MeSH terms as a single input. The input data underwent preprocessing with the inbuilt ktrain Bidirectional Encoder Representations from Transformers (BERT) preprocessing library before analysis with BERT. Before use for logistic regression and XGBoost models, the input data underwent punctuation removal, negation detection, stemming, and conversion into a term frequency-inverse document frequency array. Following this preprocessing, data were randomly split into training and testing data sets with a 3:1 train:test ratio. Models were developed to predict whether a given article would be published in a first, second, or third tertile journal (0-33rd centile, 34th-66th centile, or 67th-100th centile), as ranked either by impact factor or Eigenfactor score. BERT, XGBoost, and logistic regression models were developed on the training data set before evaluation on the hold-out test data set. The primary outcome was overall classification accuracy for the best-performing model in the prediction of accepting journal impact factor tertile.

RESULTS

There were 10,813 articles from 382 unique journals. The median impact factor and Eigenfactor score were 2.117 (IQR 1.102-2.622) and 0.00247 (IQR 0.00105-0.03), respectively. The BERT model achieved the highest impact factor tertile classification accuracy of 75.0%, followed by an accuracy of 71.6% for XGBoost and 65.4% for logistic regression. Similarly, BERT achieved the highest Eigenfactor score tertile classification accuracy of 73.6%, followed by an accuracy of 71.8% for XGBoost and 65.3% for logistic regression.

CONCLUSIONS

Open-source artificial intelligence can predict the impact factor and Eigenfactor score of accepting peer-reviewed journals. Further studies are required to examine the effect on publication success and the time-to-publication of such recommender systems.

Top 50 most-cited articles on SMILE surgery between 2010 and 2022: a correlation comparison between conventional bibliometrics and current altmetrics of research impact

PURPOSE

To conduct a bibliometric and altmetric analysis of the top 50 most-cited articles on small incision lenticule extraction (SMILE) surgery and assess its correlations with other metrics.

METHODS

The terms "small incision lenticule extraction" or "SMILE" were searched in the title, abstract, and keywords using Web of Science database. The retrieved articles (n = 927, between 2010 and 2022) were analyzed in-depth using altmetric attention scores (AAS), and traditional metrics (citation numbers of articles, impact factor of journals, and other citation-based metrics). A correlation statistics was performed with metrics. The articles' focus was examined quantitatively and the most prolific parameters were identified. Authorship network and country statistics also was examined.

RESULTS

Citation numbers were between 491 and 45. AASs were between 26 and 0. The altmetric score correlated moderately with citation number (r = 0.44, P = 0.001) and annual mean citations (r = 0.49, P < 0.001), but correlated weakly with impact factor (r = 0.28, P = 0.045), and immediacy index (r = 0.32, P = 0.022). The most articles published from China and the most articles were published in 2014. Modern SMILE surgery was mostly compared to the older LASIK procedure. The highest authorship number of links belonged to Zhou XT.

CONCLUSION

The first bibliometric and altmetric analysis of SMILE research provides novel directions for future work by showing the current research trends, prolific parameters, and zones with potential for the public's attention, providing useful information about the dissemination of scientific knowledge on SMILE in social media and to the general public.

The Correlation between Altmetric Attention Score and Traditional Bibliometrics in Top Nursing Journal Articles

Background. Altmetric Attention Score (AAS) is a quantitative measurement of the online impact of research and has a potential correlation with traditional bibliometrics. However, the correlation for nursing journal articles is still unknown. The objective of the study was to analyze the correlation between AAS and traditional bibliometrics in the top nursing journal articles. Materials and Methods. Articles published in top nursing journals (the journals with the top 20 5-year impact factors) from 2010 to 2019 were included. The correlations between AAS and citations, AAS and Relative Citation Ratio (RCR) score, AAS and Category Normalized Citation Impact (CNCI) value, and AAS and impact factors were analyzed. Statistical analyses were performed using Stata 25.0 software. Results. A total of 15,212 journal articles were included in the study. Very weak correlations were found between AASs and citations [0.124 (95% CI, 0.108–0.14)], AASs and RCRs [0.26 (95% CI, 0.244–0.275)], and AASs and CNCIs [0.207 (95% CI, 0.192–0.223)]. The weak correlations were also found between AASs and impact factors in several journals. The weak correlations between AASs and citations, AASs and CNCIs, and AASs and RCRs were also found for most journals based on subgroup analysis. Conclusions. There is very weak correlations between AASs and traditional bibliometrics in top nursing journal articles. More studies should be conducted to assess how AAS influence bibliometrics, and how they can help manage nursing journal articles and research.

Publications on COVID-19 in radiology journals in 2020 and 2021: bibliometric citation and co-citation network analysis

OBJECTIVES

The pandemic caused by SARS-CoV-2 has led to the rapid publication of numerous radiology articles, primarily focused on disease diagnosis. The objective of this study is to analyze the intellectual structure of radiology research on COVID-19 using a citation and co-citation analysis.

METHODS

We identified all documents about COVID-19 published in radiology journals included in the Web of Science in the period 2020-2021, conducting a citation analysis. Then we identified all bibliographic references that were cited by these documents, generating a co-citation matrix that was used to perform a co-citation network.

RESULTS

Of the 3418 documents indexed in WoS, 857 were initially "Early Access," 2223 had citations, 393 had more than 20 citations, and 83 had more than 100 citations. The USA had the highest number of publications (32.62%) and China had the highest rate of funded studies (45.38%). The three authors with the most publications were affiliated with Italian institutions, while the five most cited authors were Chinese. A total of 647 publications were co-cited at least 12 times and were published in 206 different journals, with 49% of the documents found in radiology journals. The institutions with the greatest presence among these co-cited articles were Chinese and American.

CONCLUSION

This co-citation analysis is the first to focus exclusively on radiology articles on COVID-19. Our study confirms the existence of interrelated thematic clusters with different specific weights.

KEY POINTS

• As the pandemic caused by SARS-Cov-2 has led to the rapid publication of numerous radiology studies in a short time period, a bibliometric review based on citation and co-citation analysis has been conducted. • The co-citation analysis supported the identification of key themes in the study of COVID-19 in radiology publications. • Many of the most co-cited articles belong to a heterogeneous group of publications, with authors from countries that are far apart and even from different disciplines.

Global trends in research of glutamate in epilepsy during past two decades: A bibliometric analysis

Epilepsy affects more than 70 million people in the world. It is characterized by recurrent spontaneous seizures, and it is related to many neurological, cognitive, and psychosocial consequences. Glutamate neurotransmitter dysfunction has essential functions in the pathophysiology of epilepsy. In this work, bibliometric analysis was conducted to explore the trends, frontiers, and hotspots of the global scientific output of glutamate in epilepsy research in the past 20 years. The Science Citation Index Expanded of the Web of Science Core Collection (WoSCC) was searched to obtain information on publications and records published between 2002 and 2021. VOSviewer and CiteSpace were used to conduct bibliometric and visual analyses on the overall distribution of annual output, major countries, active institutions, journals, authors, commonly cited literature, and keywords. The impact and quality of the papers were assessed using the global citation score (GCS). Four thousand eight hundred ninety-one publications were retrieved in total. During the past two decades, the number of publications (Np) associated with glutamate in epilepsy has risen yearly. The United States has published the most papers; its H-index and number of citations are also the highest. The League of European Research Universities (LERU) was the most productive institution. In 2016, the total score of the paper written by Zhang Y was 854, ranking first. The keywords that appear most frequently are “epilepsy,” “glutamate,” “temporal lobe epilepsy (TLE),” “hippocampus,” and “seizures.” This study showed that although the publications related to epileptic glutamate fluctuated slightly, the Np increased overall. The United States is a great creator and influential country in this field. The first three authors are Eid, T., Aronica, E., and Smolders, I. “spectrum,” “animal model,” “inflammation,” “mutation,” “dysfunction,” and “prefrontal cortex” are increasing research hotspots. By recognizing the most critical indicators (researchers, countries, research institutes, and journals of glutamate release in epilepsy research), the research hotspot of glutamate in epilepsy could help countries, scholars, and policymakers in this field enhance their understanding of the role of glutamate in epilepsy and make decisions.

Ranking of addiction journals in eight widely used impact metrics

Background and aims

Journal metrics assess impact upon the research literature, and are now used to assess individual researchers in hiring and promotion decisions. This study compared the ranking of addiction journals according to eight widely used metrics; assessed the correlations between journal rankings; and assessed changes over time in metric scores.

Methods

Data pertaining to the 2020 scores on eight metrics for 43 journals were obtained and the top 20 ranking in each compared and the correlations between rankings assessed. The Impact Factor was employed to assess changes over time.

Results

Ignoring the two categorization systems used by some metrics, 31 journals appeared in at least one metric top 20 and 11 in all eight. The top rank in each was occupied by one of three journals. Three-quarters of the correlations between rankings were above 6.0. The number of journals with an Impact Factor rose from 23 in 1997 to 38 in 2020, and the journals added tended to focus on addictions other than alcohol and drugs or have a specific focus.

Conclusions and discussion

The results indicate a concentration of journals at the top of the metrics and moderate to strong agreement between them, but almost three-quarters of journals appeared in at least one metric. The longitudinal data reflect both a broadening and specialization of the addiction field. The study limitations include exclusion of some journals and metrics.

Bibliometric Analysis of the Current Landscape of Global Scientific Production on the Development of Vaccines against Dental Caries

Objective. To perform a bibliometric analysis of the scientific research on the development of vaccines against dental caries. Methods. An extraction of the scientific production published on the development of vaccines against dental caries between 2011 and 2020 was carried out from the Scopus database. Microsoft Excel was used for the elaboration of tables and SciVal for the bibliometric analysis of the data, which were divided into indicators of production, impact, and collaboration. Finally, VOSviewer was used for co-occurrence analysis of keywords and collaborative networks. Results. 106 studies were retrieved from the Scopus database, which were conducted on the development of dental caries vaccines within the years 2011–2020. Wuhan University, in China, was the university with the highest scientific production on the subject, with 4 publications. Regarding the most productive journals, the first place was occupied by the Journal of Dental Research with 7 publications. Regarding the most productive journals, the first place was occupied by the Journal of Dental Research with 7 publications. The highest percentage of the documents analyzed was in quartile 1 journals and in the national collaboration pattern. Conclusion. Most of the manuscripts regarding the development of vaccines against dental caries were published in China and in Q1 quartile journals. In addition, Yan Huimin, Yang Jingyi, Zhou Dihan, Yang Yi, Li Yuhong and Fan Mingwen were found to top the list of most productive authors. The Journal of Dental Research was also identified as the most productive and cited journal.

Geographic Trends in Publications and Submissions in Radiology Journals: Decade Report (2010 - 2020)

RATIONALE AND OBJECTIVE

The Radiology Research Alliance (RRA) of the Association of University Radiologists (AUR) organized a task force to quantify geographic changes in submissions to and publications within radiology journals over time.

MATERIALS AND METHODS

Twenty journals were selected: 7 US-based general, 4 European-based general, and 9 subspecialty radiology journals. Journals were solicited for submissions and publications based on country of origin from 2010 -2020. Regression models assessed changes over time across countries, and by continent, with an emphasis on the US and China, for each journal category.

RESULTS

There were 104,679 publications and 92,446 submissions from 149 countries. Overall, there were significant increases in numbers of publications from Asia (R² = 0.66, p <0.01), and specifically, China (R² = 0.87, p <0.01). For US journals, there were increased numbers of publications from Asia (R² = 0.72, p <0.01) and China (R² = 0.98, p <0.01), but decreased numbers from North America (R² = 0.41, p = 0.03). For European journals, there were increased numbers of publications from Asia (R² = 0.79, p <0.01), North America (R² = 0.75, p <0.01), and China (R² = 0.82, p <0.01). For subspecialty journals, there were increased numbers of publications from North America (R² = 0.38, p = 0.04) and China (R² = 0.73, p <0.01). There was an acute COVID spike in submissions during 2020, with a continuous increase most notable in China (R² = 0.96, p <0.01).

CONCLUSION

In the last decade, the numbers of submissions to and publications within general and subspecialty US and European radiology journals have generally increased around the world, with the largest growth in Asia and in particular China.

Endodontic Microbiology: A Bibliometric Analysis of the Top 50 Classics

Background

Citation analysis has emerged to play a significant role in recognition of the most useful areas of research. Endodontic microbiology has been a topic of interest for endodontists as well as periodontists and oral surgeons. This bibliometric analysis is aimed at identifying and reporting the characteristics of the top 50 cited articles on endodontic microbiology.

Methods

The articles were identified through a search on Web of Science (WoS), property of Clarivate Analytics database published on endodontic microbiology. The citation information of the selected articles was recorded. The Journal of Endodontics, International Endodontic Journal, Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology, Dental Traumatology, and Australian Endodontic Journal were searched in the search title. Descriptive and bivariate analyses were performed using a statistical software package SPSS. Statistical analysis was performed using Shapiro-Wilk, Kruskal-Wallis, Post hoc, Mann-Kendall trend, and Spearman-rank tests.

Results

The 50 most cited articles were published from 1965 to 2012 with citation count varying from 1065 to 103 times. The total citation counts of articles recorded were 11,525 (WoS), 12,602 (Elseviers' Scopus), and 28,871 (Google Scholar). The most prolific years in terms of publications were 2001, 2002, and 2003, with five publications each, followed by 2005 with four. The year with most citations was 1998, with 1,330 citations, followed by 1965 and 2001, with 1,065 and 1,015 citations, respectively. A total of 136 authors contributed to the top 50 most cited articles with 27 corresponding institutions from 12 different countries. The most common methodological design was in vitro study, followed by clinic-laboratory study, literature review, systematic review and meta-analysis, and animal study.

Conclusions

The present study provided a detailed list of the top 50 most cited and classic articles on microbiology in endodontics. This will help researchers, students, and clinicians in the field of endodontics as an impressive source of information.

Researcher Performance in Scopus Articles (RPSA) as a New Scientometric Model of Scientific Output: Tested in Business Area of V4 Countries

The purpose of this study is to present a new scientometric model for measuring individual scientific performance in Scopus article publications in the field of Business, Management, and Accounting (BMA). With the help of this model, the study also compares the publication performance of the top 50 researchers according to SciVal in the field of BMA, in each of the Central European V4 countries (Czech Republic; Hungary; Poland; Slovakia). To analyze the scientific excellence of a total of top 200 researchers in the countries studied, we collected and analyzed the data of a total of 1844 partially redundant and a total of 1492 cleansed BMA publications. In the scope of the study, we determined the quality of the journals using SCImago, the individual contributions to the journal articles, and the number of citations using Scopus data. A comparison of individual performance, as shown by published journal articles, can be made based on the qualities of the journals, the determination of the aggregated co-authorship ratios, and the number of citations received. The performance of BMA researchers in Hungary lags behind the average of V4s in terms of quantity, but in terms of quality it reaches this average. As for BMA journal articles, the average number of co-authors is between two and three; concerning Q4 to Q2 publications, this number typically increases. In fact, in the case of these Q journals multiple co-authorship results in higher citations, but it is not the case concerning Q1 journals.

Bibliometrics Analysis of Diagnostic Test Accuracy Studies of Bladder Cancer

Background

Bladder cancer is amongst the top 10 most common neoplasms worldwide. It is responsible for over 150,000 deaths per annum. It is of great importance to study its clinical diagnosis and management. As a literature synthesis technique, bibliometrics analysis helps us to take our knowledge of bladder cancer diagnosis research, topics, and trends a step further. It is critical to elucidate the literature landscape and its pertinent impact on this field, in order to have a better understanding and improved management of bladder cancer.

Materials and Methods

Search terms related to bladder cancer diagnosis were used to retrieval publications which met the predefined criteria in the Scopus database developed by Elsevier. Included articles were further evaluated by year of publication, country, language, institution, article type, source journal, coauthorship networks, and text mining of titles. The R software, as well as the tm, ggplot2 packages, and the VOSviewer (version 1.6.15) were used as software tools.

Results

A comprehensive literature search in the Scopus database returned a total of 824 publication items. Among them, 601 (72.94%) were published as journal articles, and 117 (14.20%) were published as reviews. The number of annual publications in this field has been increasing in recent years. English represents the language used in the majority of the articles (634, 77.13%). The highest number of citations received for a single article is as high as 628 times. We also clustered and visualized a network of 701 authors with no less than 3 publications. The term cloud and hierarchical clustering dendrogram which revealed with text mining were used to discover the hot research topics in this field. We also statistically analyzed evolution of the major journal impact indices, including Impact Factor, EigenFactor Score, and CiteScore of 11 journals with a period of 9 years.

Conclusion

Through bibliometrics analysis, we found hot topics and related research focuses and trends in bladder cancer diagnosis. This bibliometrics analysis has identified influential articles in the field and provides a useful guide to researchers as to what type of article constitutes a highly citable publication in this subject. In addition, a coauthorship network helps researchers find out which team may be a potential partner and where their studies focus on.

Global research trends in COVID-19 with MRI and PET/CT: a scoping review with bibliometric and network analyses

Objective

To identify and evaluate the indexed studies that allow us to understand the implications of imaging studies in MRI and PET/CT related to COVID-19 research.

Methods

Scoping review. Articles in PubMed, Scopus, and Web of Science (WoS) were scanned from 2019 to 2021 with COVID-19, MRI, and PET-CT as keywords. EndNote software and manual checking removed the duplicated references. Our assessment includes citation, bibliometric, keyword network, and statistical analyses using descriptive statistics and correlations. Highlighted variables were publication year, country, journals, and authorship.

Results

Only 326 papers were included. The most cited article reached 669 cites; this number represented 21.71% of 3081 citations. The top-15 cited authors received 1787 citations, which represented 58% of the total cites. These authors had affiliations from ten countries (Belgium, China, France, Italy, Japan, Spain, Sweden, Turkey, United Kingdom (UK), and the USA). The top-30 journals were cited 2762 times, representing 89.65% of the total cites. Only five journals were cited more than 100 times; Int J Infect Dis had the most significant number of citations (674). Some of the unexpected keywords were encephalitis, stroke, microbleeds, myocarditis.

Conclusion

COVID-19 pandemic is still spreading worldwide, and the knowledge about its different facets continues advancing. MRI and PET/CT are being used in more than 50% of the selected studies; research trends span seven categories, no only the diagnostic but others like socio-economic impact and pathogenesis Developed countries had an advantage by having hospitals with more resources, including MRI and PET/CT facilities in the same institution to supplement basic assessment in patients with COVID-19.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40336-021-00460-x.

Mapping the scientific research on radiology departments: Global trends in publication, collaboration and trending topics

PURPOSE

To characterize the global research trend in radiology departments based on bibliometric indicators.

MATERIAL AND METHOD

As a source of information, Science Citation Index Expanded and Journal Citation Reports from Web of Science Core Collection (WoSCC) were used. Annual trends, journals of publication, subject categories of journals, collaboration indexes between authors and institutions, network of cowords and most cited papers were identified and analysed. The period of study was 2009-2018.

RESULTS

283,587 downloaded papers were analysed. The number of articles was increasing, as well as the percentage of funded works. Papers were published in 7314 different journals, being the most productive Plos One (5077), followed by American Journal of Roentgenology (4602) and European Radiology (3644). Most productive subject categories of journals were Radiology, Nuclear Medicine & Medical Imaging (86,568 papers), Clinical Neurology (29,722) and Surgery (23,564). International collaboration has increased more than 5 points, from 15.2% in 2009 to 20.7% in 2018.

CONCLUSIONS

Most cited articles were published in high impact journals outside the scope of diagnostic imaging. Most influential topics included technical innovations within imaging modalities. MRI replaced conventional radiography and CT as the imaging technique of choice in imaging research.

An analysis of scientometric data and publication policies of rheumatology journals

OBJECTIVE

Scientometric indexes, based on citations, may be increased by open access (OA) publishing. We aimed to present the scientometric data of of rheumatology journals and analyze the scientometric data of rheumatology journals according to the OA publication policy.

METHOD

Scientometric indexes and bibliometric data of 22 journals were obtained from Clarivate Analytics InCites, Scopus, and Scimago Journal & Country Rank websites. We included journal impact factor (JIF), CiteScore (CS), Hirsch index (HI), Source Normalized Impact per Paper (SNIP), Eigenfactor score (ES), and Scientific Journal Ranking (SJR). We separated the OA publishing policies into full OA and hybrid OA. The US dollar (USD) was used as the requested fee unit.

RESULTS

All pairs of scientometric indexes had positive significant correlations. However, a journal in the first quartile of JIF was observed in the second quartile of CS, SNIP, and SJR, and the last quartile of ES and HI. Scientometric indexes of of full and hybrid OA journals were similar, apart from HI, which was higher in hybrid OA journals (p = 0.03, Mann-Whitney U test). However, full OA journal fees were less expensive by a median of 935 USD (p = 0.007, Mann-Whitney U test).

CONCLUSION

We recommend that the JIF and HI pair or the ES paired with CS or SNIP be used together to evaluate rheumatology journals. We failed to show that the OA model positively affects the scientometric indexes of rheumatology journals; our results contradict the literature reporting that the OA publication model causes an increase in citations. Key Points •Clinicians should understand the scientometric indexes in rheumatology and if open access publishing affects citations (therefore, scientometric indexes). •The JIF and HI pair or the ES paired with CS or SNIP can be used to express different rankings since they are based on different databases and use different calculation methods. •We show that OA publication does not affect citations or scientometric indexes of rheumatology journals. •When choosing a rheumatology journal to publish OA, rheumatologists should consider individual OA citation patterns and APC charges together.

Conference Accreditation and Need of a Bibliometric Measure to Distinguish Predatory Conferences

Academic conferences offer scientists the opportunity to share their findings and knowledge with other researchers. However, the number of conferences is rapidly increasing globally and many unsolicited e-mails are received from conference organizers. These e-mails take time for researchers to read and ascertain their legitimacy. Because not every conference is of high quality, there is a need for young researchers and scholars to recognize the so-called “predatory conferences” which make a profit from unsuspecting researchers without the core purpose of advancing science or collaboration. Unlike journals that possess accreditation indices, there is no appropriate accreditation for international conferences. Here, a bibliometric measure is proposed that enables scholars to evaluate conference quality before attending.

A bibliometric study of the journal Radiología during the period 2010-2019

BACKGROUND AND AIMS

Bibliometrics makes it possible to measure the relative importance of a scientific journal in its field. The current study analyzed the scientific publications in Radiología and the bibliometric parameters of the journal in the period comprising 2010 through 2019.

MATERIALS AND METHODS

We reviewed the bibliometrics for Radiología through information obtained from three sources: Scopus, the online version of the journal, and the publisher (Elsevier). We retrospectively analyzed aspects related to the editorial process (final decision and speed), the articles published (type, subspecialty of radiology, and imaging technique), the trends in citation and various indices (CiteScore, SNIP, and SJR), visibility, downloads, author characteristics (geographical origin and institutional collaboration), and the most cited articles.

RESULTS

The number of articles published in Radiología gradually decreased during the decade, and the time to publication increased. Original research articles account for the largest share of the articles published. The most common subject areas were radiology of the digestive tract and neuroradiology. Nevertheless, the bibliometric indicators and the number of downloads of articles increased every year. Regarding the authorship of the articles published, although authors from Spain predominate, the participation of authors from other countries became increasingly common. Collaboration among different institutions also became increasingly common in the period analyzed.

CONCLUSIONS

This review shows the progression of the journal's scientific work and some aspects that must be addressed to favor the growth of Radiología.

Scientometric Data and Open Access Publication Policies of Clinical Allergy and Immunology Journals

Introduction

The scientific merit of a paper and its ability to reach broader audiences is essential for scientific impact. Thus, scientific merit measurements are made by scientometric indexes, and journals are increasingly using published papers as open access (OA). In this study, we present the scientometric data for journals published in clinical allergy and immunology and compare the scientometric data of journals in terms of their all-OA and hybrid-OA publication policies.

Methods

Data were obtained from Clarivate Analytics InCites, Scimago Journal & Country Rank, and journal websites. A total of 35 journals were evaluated for bibliometric data, journal impact factor (JIF), scientific journal ranking (SJR), Eigenfactor score (ES), and Hirsch index (h-index). US dollars (USD) were used for the requested article publishing charge (APC).

Results

The most common publication policy was hybrid-OA (n = 20). The median OA publishing APC was 3000 USD. Hybrid-OA journals charged a higher APC than all-OA journals (3570 USD vs. 675 USD, p = 0.0001). Very strong positive correlations were observed between SJR and JIF and between ES and h-index. All the journals in the h-index and ES first quartiles were hybrid-OA journals.

Conclusion

Based on these results, we recommend the use of SJR and ES together to evaluate journals in clinical allergy and immunology. Although there is a wide APC gap between all-OA and hybrid-OA journals, all journals within the first quartiles for h-index and ES were hybrid-OA. Our results conflict with the literature stating that the OA publication model's usage causes an increase in citation counts.

Trends of the main bibliometric indicators of Anais Brasileiros de Dermatologia (2010-2019)

BACKGROUND

The Anais Brasileiros de Dermatologia (Anais Brasileiros de Dermatologia) is the official journal of the Brazilian Society of Dermatology, which has been published since 1925, with free, bilingual access. There are several bibliometric indicators that estimate aspects of a journal's scientific influence. Its analysis, based especially on the evolutionary trend, allows identifying the journal's strengths and weaknesses, in addition to guiding editorial policies.

OBJECTIVES

To evaluate the trends of the main bibliometric indicators of Anais Brasileiros de Dermatologia, in the decade of 2010-2019.

METHODS

Methodological study that proposed the analysis of bibliometric indicators published by Journal Citation Reports, SCImago, and Scopus, for the journal Anais Brasileiros de Dermatologia, from 2010 to 2019. The following aspects were evaluated: Impact factor, Immediacy index, SJR (SCImago), in addition to the number of citations, citable items, Cite Score, percentage of external citations, percentage of cited articles, percentage of citable articles, and the article influence score.

RESULTS

There was an increase in the main bibliometric indicators in the last decade: impact factor (0.337 to 1.121), immediacy index (0.054 to 0.204),Eigenfactor (0.00025 to 0.00394), SJR (0.176 to 0.453). The percentage of external citations (48.4% to 94.1%) and cited articles (24.7% to 51.4%) also increased. The increase in the impact factors of Anais Brasileiros de Dermatologia in the period was more significant than that of the dermatology journals (1,667 to 2,118) and the Brazilian journals (1,247 to 1,408), indexed in the Journal Citation Reports.

STUDY LIMITATIONS

Failure in the classification and registration of the databases.

CONCLUSIONS

There has been a consistent increase in the scientific influence of Anais Brasileiros de Dermatologia in the last decade.

Publishing in Hematology Journals: A Scientometric and Economic Evaluation

Introduction: Herein, we aimed to compare the scientometric data of hematology journals, and compare the publication models, especially the scientometric data of journals with all-open access (OA) and hybrid-OA publication models.

Methods: Data were obtained from Scimago Journal & Country Rank and Clarivate Analytics InCites websites. Fifty-four journals indexed in Science Citation Index (SCI) and SCI-Expanded were evaluated. Bibliometric data and impact factor (IF), scientific journal rank (SJR), eigenfactor score (ES), and Hirsch (h)-index of the journals were obtained. United States dollar (USD) was used as the requested article publishing charge (APC). Statistics Package for the Social Sciences (SPSS, IBM Corp., Armonk, NY) version 23.0 was used for data analysis.

Results: As a publication model, Hybrid-OA was the most common. One journal had subscription-only, and two journals had a free-OA model. Nine journals had a mandatory OA with the APC model and 42 journals used a hybrid model. The Median OA fee was 3400 USD. Hybrid-OA journals had a significantly higher median h-index (72 vs. 40, p=0.03) compared to all-OA journals. Other scientometric indexes were similar. When APCs were compared, all-OA journals were median 900 USD lower than hybrid-OA journals (2490 vs. 3400 USD, p=0.019).

Conclusion: There is a widespread use of the OA publication model in hematology journals. Although hybrid OA journals have higher h-index, other scientometric indexes are similar. All-OA journals are more economically feasible considering a lower median APC. Further scientometric studies for journals in the field of hematology, randomized to follow citation per publication according to the OA model would better shed light on the data in this area.

Application of virtual reality in people with ASD from 1996 to 2019

Purpose

Diversity is one of the main characteristics of modern societies. To be teachers and trainers, it is necessary to use all the tools to respond to students with diversified needs. Therefore, the main aim of this study is to review the scientific production in Web of Science (WOS) and SCOPUS of 1996-2019 on the application of Virtual reality in people with Autism Spectrum Disoders (ASD) for the improvement of social skills.

Design/methodology/approach

For this purpose, two databases have been used: The Web of Science (WOS) and SCOPUS from the advanced search tab. After applying the search terms, 267 documents were obtained which were analysed according to a series of indicators.

Findings

The results indicate that the period 2016-2019 was the most productive and that SCOPUS has a focus on conferences and WOS is intended for journals. Furthermore, in SCOPUS, there are journals with higher quartiles (Q1) than in WOS. The study shows the great importance of virtual reality in people with ASD and its recent dissemination.

Originality/value

Currently, to the best of the authors’ knowledge, there are no studies on the use of virtual reality in people with ASD using bibliometric indicators. The study allows us to know which databases publish higher quality research. Likewise, information can be obtained about the most productive centres and the most important authors on the subject.

Bibliometric Analysis of Dendritic Epidermal T Cell (DETC) Research From 1983 to 2019

Dendritic epidermal T cells (DETC) are a group of immune cells expressing canonical γδ TCR in the murine epidermis. Similar to γδ T cells in the human epidermis, DETC serve an important barrier cell in the skin and participate in skin immune surveillance, immune regulation, skin homeostasis, tissue protection, and other activities. Since its discovery in 1983, research on DETC has grown rapidly and unevenly. To evaluate DETC research trends and map the DETC knowledge structure, we have applied bibliometric methods and techniques. A total of 384 DETC-related articles obtained from the Scopus database published between 1983 and 2019 were analyzed using indicators of publication and citation metrics, country and international cooperation, author and co-authorship, and keyword co-occurrence cluster. The present research status, the emerging global trends and the future development direction are also visualized and discussed. In summary, this study provides novel and useful data for the DETC research scientific community, and will help researchers explore DETC more intuitively and effectively.

The impact of the open-access status on journal indices: a review of medical journals

Background: Over the past few decades, there has been an increase in the number of open access (OA) journals in almost all disciplines. This increase in OA journals was accompanied an increase in funding to support such movements. Medical fields are among the highest funded fields, which further promoted its journals to move toward OA publishing. Here, we aim to compare OA and non-OA journals in terms of citation metrics and other indices. Methods: We collected data on the included journals from Scopus Source List on 1 st November 2018.  We filtered the list for medical journals only. For each journal, we extracted data regarding citation metrics, scholarly output, and wither the journal is OA or non-OA. Results: On the 2017 Scopus list of journals, there was 5835 medical journals. Upon analyzing the difference between medical OA and non-OA journals, we found that OA journals had a significantly higher CiteScore (p< 0.001), percent cited (p< 0.001), and source normalized impact per paper (SNIP) (p< 0.001), whereas non-OA journals had higher scholarly output (p< 0.001). Among the five largest journal publishers, Springer Nature published the highest frequency of OA articles (31.5%), while Wiley-Blackwell had the lowest frequency among its medical journals (4.4%). Conclusion: Among medical journals, although non-OA journals still have higher output in terms of articles per year, OA journals have higher citation metrics.