SCImago Research Articles

Scopus Citation Metrics for Top and Bottom Quintile Kinesiology-Related Journals

ABSTRACT Journals are often ranked by citation metrics to classify them into ordinal categories (e.g. quartiles or quintiles) of prestige. This study compared five journal metrics and their associations for the top and bottom quintiles of a large sample of kinesiology-related journals. Top and bottom quintiles (n = 70) based on SCImago Journal Rank (SJR) for 2023 were identified. Descriptive data and associations between SJR, total documents, total citations, external citations per document, and percentage of uncited documents were calculated. All journal metrics in both quintiles were highly variable, and most were positively skewed. Most median metrics differed across quintiles by a factor of 3.6 to 7.8 times, although median total citations to top quintile journals were 30 times larger than bottom quintile journals due to more total documents in top quintile journals. Most (5 and 7) of the 10 associations between the journal metrics were significant (p < .01) for the top and bottom quintiles, respectively. Results confirm previous research that SJR is a positively skewed, highly variable, and unrealistically precise proxy estimate of the prestige of kinesiology-related journals. Several prestige metrics might be carefully interpreted to approximate general perceptions of journal prestige. Current evidence does not, however, support the precise ranking or numerical comparison of kinesiology journals into clear top-tier prestige status given the coverage and subdisciplinary bias, skew, and variability in most journal metrics.

Do Ophthalmology Journals Have AI Policies for Manuscript Writing?

PurposeTo assess the prevalence of Artificial Intelligence (AI) usage policies in manuscript writing in PubMed-indexed ophthalmology journals and examine the relationship between adoption of these policies and journal characteristics. DesignCross-sectional study SubjectsPubMed-indexed ophthalmology journals Main Outcome MeasuresPrevalence of policies in journal guidelines regarding the use of AI in manuscript writing. MethodsWe reviewed the guidelines of 84 ophthalmology journals indexed in PubMed to determine the presence of AI-use policies for manuscript generation. We further compared journal metrics, such as CiteScore, Journal Impact Factor (JIF), Journal Citation Indicator (JCI), Source Normalized Impact per Paper (SNIP), and SCImago Journal Rank (SJR), between journals with and without AI policies. Additionally, we analyzed the association between AI policy adoption and journal characteristics, such as MEDLINE indexing and society affiliation. ResultsAmong the 84 journals, 53 (63.1%) had AI policies for manuscript generation, with no significant changes observed during the study period. Journals indexed in MEDLINE were significantly more likely to have AI policies (68.8%) than non-MEDLINE-indexed journals, where no AI policies were found (0%) (p = 0.0008). There was no significant difference in AI policy adoption between society-affiliated (62.7%) and unaffiliated journals (64.7%) (p = 0.8443). Journals with AI policies had significantly higher metrics, including CiteScore, SNIP, SJR, JIF, and JCI (p < 0.05). ConclusionsWhile many ophthalmology journals have adopted AI policies, the lack of guidelines in over one-third of journals highlights a critical need for consistent and comprehensive AI policies, particularly as the AI landscape rapidly advances.

Demystifying multilingual LIS journals in Scopus: Languages, coverage, metrics, and implications

This study aimed to investigate the languages, countries, geographic distribution, and commonly used journal metrics of multilingual Library and Information Science (LIS) journals indexed in Scopus. The Scimago Journal Rank (SJR) portal was used as a proxy for Scopus-indexed LIS journals. Through examination of the homepages of 249 LIS journals listed in SJR, 42 multilingual LIS journals were identified. For this study, multilingual journals were defined as those publishing in a combination of English and other languages. The findings revealed that although English-only journals have historically dominated the field, a significant number of multilingual journals have been indexed in Scopus over the past two decades. The 42 identified multilingual journals span 25 countries and encompass 18 languages, reflecting a diverse linguistic landscape in LIS scholarship. Notably, 67% are Open Access (OA) and affiliated with major publishers, including university presses. Spain and Brazil emerge as key players, accounting for 27% of all identified multilingual journals, highlighting the importance of their regional languages in LIS scholarship. However, the study also uncovered disparities in journal metrics and rankings, with multilingual journals consistently scoring lower than their English-only counterparts. Despite efforts to include regional and local journals in major databases, these results underscore the persistent challenges multilingual publications face in achieving and maintaining Scopus indexing.

First Insights into the Coverage of Conversational Agents in LIS Sources

ABSTRACTThis poster addresses the research question of whether conversational agents (CAs) play a role within the Library and Information Science (LIS) publication sources and provides preliminary insights. At the time of research, the Scimago Journal &amp; Country Rank (SJR) database included 271 LIS publication sources. Twenty‐seven percent of these sources related to research topics on conversational agents. In total, the dataset included 351 documents extracted from Scopus. With 59 publications, the journal Education and Information Technologies listed the greatest number of articles. A ranking by the number of authors showed China (N = 239), the United States (N = 222), and India (N = 87) as the top three countries.

Bibliometric Analysis of Botulinum Toxin and Bruxism: Impact, Visualization, and Collaborative Networks.

To analyze the scientific production related to the use of botulinum toxin (BTX-A) in the management of bruxism and evaluate its scope, impact, networks, and new research trends. A descriptive and retrospective study of publications indexed in Scopus from January 2018 to May 2024 was conducted. The bibliometric indicators evaluated were a number of publications, citations, h-index, SCImago Journal Rank 2022, CiteScore 2022, Lotka's Law, Bradford's Law, and keyword co-occurrence analysis. Data were processed using SciVal and VOSviewer. We obtained 98 publications, including original articles, reviews, and other types of documents. Among the most productive authors, most were from South Korea and Turkey. Wonkwang University (South Korea) had the highest number of publications, while Baylor College of Medicine (USA) had the highest impact with 66.5 citations per publication. Toxins had the highest number of publications and the best Cite Score in 2022. Six main topics related to BTX-A in bruxism were identified, highlighting "reviews," "electromyography" and "controlled clinical trials". The use of BTX-A for the treatment of bruxism has generated increasing interest and scientific output in recent years, especially in South Korea and Brazil. However, there is a disparity in the productivity of authors, with most authors presenting only one publication. This study highlights the need for further research and collaborations to optimize clinical practice and better understand the efficacy and management of BTX-A for treating bruxism. How to cite this article: Villanueva-García M, Ruck-Sanchez N, Tinedo-López PL, et al. Bibliometric Analysis of Botulinum Toxin and Bruxism: Impact, Visualization, and Collaborative Networks. J Contemp Dent Pract 2024;25(6):599-604.

A decade of English academic reading research: A bibliometric analysis

This paper addresses a gap in the literature by conducting a bibliometric analysis of research on "English academic reading." The study aims to classify English academic reading articles, identify research trends, and explore popular and emerging topics in the field. To achieve these objectives, relevant articles were located using Publish or Perish software and assessed for quality using the Scimago Journal Rank (SJR). A total of 36 articles from 33 reputable journals, published between 2013 and 2023, were analyzed. Mendeley software managed references, while VOSviewer software classified the articles into six distinct research clusters. The most frequent keywords identified were ‘academic achievement,’ ‘academic reading,’ ‘students,’ ‘development,’ ‘English,’ and ‘case study.’ The analysis also revealed underexplored areas for future research, such as ‘academic performance,’ ‘English reading proficiency,’ and ‘extensive reading,’ among others. This study provides a comprehensive overview of the current research landscape on English academic reading. The findings highlight areas that have been extensively studied and suggest significant opportunities for further exploration. Researchers and educators can use these insights to develop more effective strategies to enhance English academic reading proficiency among students.

Clinical Neuroscience Research in Saudi Arabia: A Comparative Evaluation of Performance at Country and Worldwide Levels Based on the Relative Specialization Index.

This review is an appraisal of the performance of clinical neuroscience research in Saudi Arabia based on the measurement of the Relative Specialization Index (RSI). The latter is an established quantitative performance indicator that determines whether a country has a relatively higher or lower share in world publications in a specialty than its overall part in the world total publications. The study aimed to assess the trends in the specialty's RSI, comparing it to other medical specialties in Saudi Arabia and to that of the top 50 countriesworldwide in clinical neuroscience. SCImago Journal and Country Rank were used to determine the total articles and total citations for 46 medical specialties in Saudi Arabia and clinical neuroscience in the worldwide top 50 countries during 1996‑ 2023. The RSI was calculated for each medical specialty and each country. A positive or negative RSI implied that the specialty's share in the country's total documents or total citations was higher or lower than the average for the specialty worldwide. A steady increase in Saudi Arabia's total articles and total citations in clinical neuroscience was observed over the last 28 years. The RSI values, however, remained negative throughout except for limited periods (2003-2006 for total articles) and (1996 and 1998 for total citations). Compared to other medical specialties in Saudi Arabia, the specialization performance for clinical neuroscience was within the mid-range in total articles (ranking 30th out of 46 specialties) and the low range in total citations (ranking 39th out of 46 specialties). Saudi Arabia's worldwide ranking in clinical neuroscience based on total citations was 39;however, the country's ranking dropped to 45when the RSI values were applied. Furthermore, clinical neuroscience was considered to have had a strong relative contribution (RSI ≥ 0.1) to the total articles in five countries (Italy, Austria, Germany, Japan, and Canada) and total citations in six countries (Luxembourg, Austria, Germany, Canada, Italy, and Finland). In conclusion, despite an increase in Saudi Arabia's total articles and total citations in clinical neuroscience over the years, the specialty's relative share of the total productivity in the country remains lower than the overall for the specialty worldwide. The performance of the specialty was within the mid-to-low range compared to the other 45 medical specialties in Saudi Arabia. In addition, the country's worldwide ranking based on total citations in the specialty dropped when the RSI was used. Clinical neuroscience researchers in Saudi Arabia are encouraged to improve the quality and quantity of their research productivity to be one of the leading medical specialties in Saudi Arabia.

Evaluation of Health Care Science and Services Journals: Impact Factors and Ranking Indicators

ABSTRACT Assessing the quality of journals in the realm of health care science and services is an intricate and vital pursuit, especially given the swift evolution of health care research amidst global challenges and technological progress. Bibliometric indicators have emerged as indispensable instruments for quantifying and comparing the impact, reach, and significance of scholarly contributions. In this study, a range of bibliometric indicators, including Impact Factor, Eigenfactor Score, Cite Score, and h-index, were utilized. We curated a list of 105 health care science and services journals using data from the Journal Citation Report (JCR) within the Web of Science (WOS), journal metrics from the Scopus database (Cite Score and SNIP), and h5-index from Google Scholar. Additionally, the SCImago Journal Ranking (SJR) was obtained from its official website. Subsequently, Bivariate Pearson’s (r) and Spearman’s (ρ) correlation coefficient tests were conducted to evaluate ranking correlations. The findings revealed strong Pearson’s (r) statistical correlations between JIF and CS (r = 0.908) and between JIF and SJR (r = 0.875), while moderate correlations were observed between JIF and H5-median, H5-index, and SNIP (r = 0.769, r = 0.730, and r = 0.645, respectively). Spearman’s rho analysis indicated high correlations between JIF and CS (ρ = 0.907) and between JIF and SJR (ρ = 0.863), with lower correlations among H5-median, SNIP, and H5-index indicators (ρ = 0.798, ρ = 0.763, and ρ = 0.750, respectively).

Gender and Geographical Representation on Editorial Board Members of Medical Informatics Journals.

Previous work has suggested that gender and geographical distribution (affiliation) of Editors-in-Chief (EiC) and Editorial Board (EB) members are inequitable in representation of scientific communities, and could benefit from increasing diversity of representation. Specifically, previous studies suggest that male and ethnically white (or non-minoritized groups) are overrepresented. Such differences in representation may potentially influence the scientific and scholarly record. This paper aims to build on pre-existing literature by examining the diversity of representation among EiCs and EB members in the top (Q1) journals in the "Medicine-Health Informatics" category (ranked by SCImago Journal and Country Rank, or SJR) in terms of gender as assessed by genderize.io) and geographical distribution of affiliations. Preliminary findings are consistent with those of previous work on the topic: only 25% (8/32) of the EiCs in the selected journals are female, while females only represent 32.7% (426/1303) of the EB members across journals. Furthermore, the US is highly represented in EBs, with more than half of the members, i.e., 52.2% (698/1337), being US-affiliated. Present results suggest the need for an intentional approach to diversifying representation on editorial boards of medical informatics journals. Such intention can be seen as part of a call to action from important stakeholders, including medical informatics leaders and programs, journal management and publishers, and the medical informatics and scientific community more generally.

Citation Analysis of Marketing Research: Key Contributions and Future Directions

Citation analysis measures the relative importance or impact of an author, article, or publication by counting the number of times other works have cited it. This research conducted a thorough examination within the marketing academic field, exploring the most cited articles and authors, the most published authors, publishing countries, universities, and the years with maximum contributions. The methodology involved selecting the top ten marketing journals based on the Scimago Journal and Country Rank (as of April 29, 2024). Data were collected from the Scopus database, encompassing 12,445 journal articles and 782,442 cited references. The results revealed Barry J. Babin as the most prolific author with 447 articles. The most cited article was "Uniting the Tribes: Using Text for Marketing Insight" with 772 citations. The United States led with 67,302 publications and 2,500,668 citations, while the University of Pennsylvania, Wharton School, had the highest number of publications at 235 articles. As of December 2019, Philip Kotler was identified as the most cited author in marketing, with 75,355 citations for his paper "Marketing Management: A South Asian Perspective" since 2009. This analysis provides valuable insights into the recent trends and future directions in the marketing field, highlighting significant contributions and influential works. However, the study's scope was limited to the top ten marketing journals from the SciMago list. Future research should consider a broader range of journals to gain a more comprehensive understanding of the marketing discipline.

A Systematic Literature Review on AC Microgrids

The objective of this work is to analyze and compare AC microgrid (ACMG) solutions to introduce the topic to new researchers. The methodology used to achieve this goal is a systematic literature review using five questions: (1) How have ACMGs evolved in five years? (2) What are the standards for ACMGs? (3) What are the different schemes for connecting MGs to the utility grid? (4) What are the different control schemes in ACMGs? (5) What is an appropriate way to compare results when working with ACMGs? The articles were published in Q1/Q2 journals as based on either the Scimago Journal Rank (SJR) and/or the Journal Citation Report (JCR) between 2018 and 2022 and were from three databases: (1) Web of Science (WoS), (2) Scopus, and (3) IEEE Xplore. Publications not describing pure ACMGs, review papers, publications not related to the questions, and papers describing work that did not meet a quality assessment were excluded, resulting in 34 articles being included in this review. Results show: (1) the energy sources and AC bus nature of microgrids over five years, (2) the identification and quantification of cited standards for microgrids, (3) the pros and cons of different schemes for connecting an AC microgrid to the main grid, (4) the control schemes, classified in a hierarchical control structure, and (5) the simulation tools and experimental benches used in microgrids. Most studies considered a generic energy source and a low-voltage three-phase AC bus, 16 standards were found, and the most cited standard was IEEE Standard 1547. The most common connection scheme to the utility grid was a direct connection, most of the works proposed a modification to a hierarchical control system scheme, and the most common simulation tool was MATLAB. The preferred experimental setup consisted of parallel inverters for testing a control scheme, a prototype when proposing a power electronic system, and a laboratory microgrid for testing fault detection methods.

Indicators and factors related to one-year improved SCImago journal rank in nursing journals: A bibliometric analysis.

To analyse the bibliometric data of nursing journals covering general fields, specializations, skills and practices and investigate the influence of selection factors on the one-year improved SCImago journal rank (SJR). A bibliometric analysis. The study sample included academic journals in the field of nursing indexed in the Scopus and SJR database using data from 2020 to 2022. Quantile regression were performed that investigated the influence factors over the one-year improved SJR when variables were found to be non-normally distributed, characterized by extremely high kurtosis. Results from 539 nursing journals retrieved from the Scopus and SCImago databases revealed that citation index remains the main factor that positively affects differences in SJR, while citable articles only affect the early stages of quantile regression. In addition, an excessively high number of research articles may negatively affect SJR, and the influence of self-citations can initially be positive but become negative the following year. Citations continue to be the dominant factor, while the rapid growth in the number of articles and self-citations must be addressed with caution. No patient or public contribution.

Distribution by country, region, and publisher in environmental engineering journals in SCImago Journal and Country Rank database (1999–2022)

Distribution by country, region, and publisher in environmental engineering journals in SCImago Journal and Country Rank database (1999–2022)

NIH funding and journal selection: trends in dermatology publication models across tiers from 2021 to 2023.

This study examines the influence of National Institutes of Health (NIH) funding on the publication choices of dermatologists, particularly in terms of journal tiers and pay-to-publish (P2P) versus free-to-publish (F2P) models. Utilizing k-means clustering for journal ranking based on SCImago Journal Rank, h-index, and Impact Factor, journals were categorized into three tiers and 54,530 dermatology publications from 2021 to 2023 were analyzed. Authors were classified as Top NIH Funded or Non-Top NIH Funded according to Blue Ridge Institute for Medical Research rankings. The study finds significant differences in publication patterns, with Top NIH Funded researchers in Tier I journals demonstrating a balanced use of P2P and F2P models, while they preferred F2P models in Tier II and III journals. Non-Top NIH Funded authors, however, opted for P2P models more frequently across all tiers. These data suggest NIH funding allows researchers greater flexibility to publish in higher-tier journals despite publication fees, while prioritizing F2P models in lower-tier journals. Such a pattern indicates that funding status plays a critical role in strategic publication decisions, potentially impacting research visibility and subsequent funding. The study's dermatology focus limits broader applicability, warranting further research to explore additional factors like geographic location, author gender, and research design.

La influencia de las autocitaciones en las decisiones editoriales a partir de la simulación de rankings de revistas

The manipulation of the Journal Impact Factor (JIF) through editorial decisions that increase self-citations has been empirically observed in recent studies, sparking discussions on how to avoid such practices. This study aims to verify whether a policy of removing self-citations from the JIF calculation is enough to eliminate incentives for manipulation. We introduce an agent-based model of the academic social network formed by journals to test this hypothesis. We model journals as rational agents seeking to gain positions in the JIF ranking. The model was implemented in NetLogo and calibrated using data from the SCIMago Journal Ranking. Simulation results demonstrate that the model is capable of reproducing patterns observed in empirical networks and that the removal of self-citations can significantly reduce the adoption of manipulation strategies (e.g., reduction from 90% to 30%). This study contributes to understanding the role of self-citations in the JIF and provides tools for developing policies that promote scientific integrity.

Analysis of editor in chief gender and associated journal variables among 126 pathology journals.

Gender equity studies have shown that women are underrepresented in journal editor in chief positions, which confer major professional opportunities and influence. We sought to systematically investigate editor in chief gender and journal attributes within pathology. We constructed a journal data set using the Scimago Journal & Country Rank and Clarivate Journal Citation Reports databases. We also included official journals of the major medical societies for the 12 pathology subspecialties recognized by the Association of American Medical Colleges. The final data set included 126 journals. We obtained editor in chief gender, impact factor, publication model (ie, hybrid access vs open access), year of founding, and geographic location for all included pathology journals. Women made up only 18% of the 141 total editor in chief positions. This inequity was present irrespective of all pathology journal variables studied. Among 10 journals with 2 editor in chief positions, 5 had only men and 5 had 1 man and 1 woman. All 3 journals with 3 editor in chief positions had 2 men and 1 woman. Women are significantly underrepresented among editor in chiefs across pathology journals. Journals and affiliated members should advocate for diversity among these influential positions, given their impact on research, science, and medicine.

Publications and ranking in orthopaedics and sports medicine of European countries during the last three decades: A bibliometric analysis

IntroductionThe present investigation examined the trend of publications and ranking in Orthopaedics and Sports Medicine of European countries during the years 1996 to 2022 and compared these with all the regions globally. MethodsIn September 2023, the SCOPUS data of publications in Orthopaedics and Sports Medicine from the SCImago Journal & Country Rank website were retrieved. All the data from Western and Eastern Europe were extracted from the overall data of the global countries and merged into Excel files, for each of the years 1996–2022 and 2022. ResultsWestern European countries contributed significantly to the global share of publications in Orthopaedics and Sports Medicine with nearly 1/3rd of the total publications. Eastern European countries’ contribution was minimal to the global publications and was almost 10 times less than the Western European countries. The total number of publications in the area of Orthopaedics and Sports Medicine from 1996 to 2022 at the European scale was led by the United Kingdom (N = 51510) and has maintained its supremacy until recently, in 2022. Amongst Western European countries, during the cumulative period of 1996–2022, the maximum contributions were made by the United Kingdom (N = 51510), and also in 2022, the United Kingdom contributed maximally (N = 3339). In the cumulative period of 1996–2022, Poland contributed maximally (N = 4049) among the Eastern European countries. In 2022, the maximum contribution from the Eastern European countries came from the Russian Federation (N = 462). ConclusionThe European continent is the major contributor to Orthopaedics and Sports Medicine research and publications, with almost 1/3rd of the global share of publications. Western European countries are far ahead in their contributions than Eastern European countries.

Is journal prestige indicator equivalent of money for humans?

In this paper, we investigate the time evolution of the rank correlation coefficients of the prestige indicators of the journals (such as Scimago Journal Rank) over 21 years, for 9856 journals in various disciplines. The observed dependencies do not differ qualitatively from those observed for the time evolution of the ranking correlations in wealth rheology among the richest people recently found by Burda et al. [Entropy 23, 842 (2021)], but quantitatively the changes in rank correlations for human wealth are much stronger than in the coefficients measuring the prestige of journals. In terms of Kendall's rank correlation coefficients, disciplines "Agricultural and Biological Sciences" and "Earth and Planetary Science" are the most typical, meaning that the time evolution of their rank correlation coefficient based on Scimago Journal Rank is closest to the time evolution of an average over all disciplines. The time evolution of the mean value of the overlap ratio is closest to the time evolution of the overlap ratio for "Psychology" and "Physics and Astronomy" disciplines. The Kendall rank correlation coefficients and the overlap ratio decrease nearly linearly over time, except for the first year, where their decay is significantly faster. The analogy between human wealth and the prestige indicators of journals is strengthened by performing a Monte Carlo simulation of the time evolution of the probability distribution function of Scimago Journal Rank. The simulation is based on a simple model of economic systems. Due to the different coverage of the journals in Scimago Journal & Country Rank and Web of Science, the identically defined measures based on the data in these databases are different.

Engineering the Future: TESEA's Commitment to Quality and Innovation

Deputy Editor Oscar Acevedo discusses the journal's most recent achievements and commitment to quality and innovation. The editorial highlights TESEA's inclusion in SCOPUS in 2023, its Q4 ranking in the Scimago Journal Rank (SJR), and its acceptance for indexing in the Directory for Open Access Journals (DOAJ).

An Appraisal of the Quality of Development and Reporting of Predictive Models in Neurosurgery: A Systematic Review

BACKGROUND AND OBJECTIVES: Significant evidence has indicated that the reporting quality of novel predictive models is poor because of confounding by small data sets, inappropriate statistical analyses, and a lack of validation and reproducibility. The Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) statement was developed to increase the generalizability of predictive models. This study evaluated the quality of predictive models reported in neurosurgical literature through their compliance with the TRIPOD guidelines. METHODS: Articles reporting prediction models published in the top 5 neurosurgery journals by SCImago Journal Rank-2 (Neurosurgery, Journal of Neurosurgery, Journal of Neurosurgery: Spine, Journal of NeuroInterventional Surgery, and Journal of Neurology, Neurosurgery, and Psychiatry) between January 1st, 2018, and January 1st, 2023, were identified through a PubMed search strategy that combined terms related to machine learning and prediction modeling. These original research articles were analyzed against the TRIPOD criteria. RESULTS: A total of 110 articles were assessed with the TRIPOD checklist. The median compliance was 57.4% (IQR: 50.0%-66.7%). Models using machine learning-based models exhibited lower compliance on average compared with conventional learning-based models (57.1%, 50.0%-66.7% vs 68.1%, 50.2%-68.1%, P = .472). Among the TRIPOD criteria, the lowest compliance was observed in blinding the assessment of predictors and outcomes (n = 7, 12.7% and n = 10, 16.9%, respectively), including an informative title (n = 17, 15.6%) and reporting model performance measures such as confidence intervals (n = 27, 24.8%). Few studies provided sufficient information to allow for the external validation of results (n = 26, 25.7%). CONCLUSION: Published predictive models in neurosurgery commonly fall short of meeting the established guidelines laid out by TRIPOD for optimal development, validation, and reporting. This lack of compliance may represent the minor extent to which these models have been subjected to external validation or adopted into routine clinical practice in neurosurgery.