Analysis of h-index and other bibliometric markers of productivity and repercussion of a selected sample of worldwide emergency medicine researchers

Miró, Òscar; Burbano, Pablo Casado; Graham, Colin A.; Cone, David C.; Ducharme, James; Brown, Anthony; Martín‐Sánchez, Francisco Javier

doi:10.1136/emermed-2016-205893

Cited by 10 publications

(5 citation statements)

References 18 publications

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“…23,24 As a parameter to quantify individuals' scientific output and scholarly impact in agiven year, it can be applied to any set of papers, journals, counties, and even within specific fields. [25][26][27][28][29][30] For our purposes, the H-index can also be used to assess the impact of student authorship on published research as a quantitative measure of author productivity.…”

Section: Introductionmentioning

confidence: 99%

Effect of Medical Student Contributions on Academic Productivity: Analysis of Student Authorship Over Time

Kan

Qureshi

Paracha

et al. 2021

AMEP

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Introduction: Understanding the trend of student authorship is crucial in determining its correlation to scholarly impact for corresponding authors. Our objective is to investigate student authorship rates over time in articles published in JAMA Internal Medicine (IM), as well as to examine potential effects student authors have on scholarly impact scores of corresponding authors via H-index measures. Methods: Authorship data including student authors (SA), first student authors, and corresponding authors (CA) from prior JAMA IM publications between 2010 and 2018 were collected, with a total of 701 studies. Analysis of variance (ANOVA) and independent sample t-tests were performed to assess for differences in the mean by publishing year and student authorship, respectively. Results: Of 4591 total authors, 683 (14.9%) were considered student authors. The percentage of student authorship increased from 46.3% to 58.0% between 2010 and 2018, respectively. No difference in average H-indices of CA between SA and non-SA groups (overall NSA H i mean: 30.2, vs SA H i mean: 32.1, p=0.371) was noted. Discussion: Student participation in research is not a disadvantage to scholarly impact for corresponding authors. Increased student authorship reflects a promising trend towards greater student participation in research within the field of medicine.

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Section: Introductionmentioning

confidence: 99%

Effect of Medical Student Contributions on Academic Productivity: Analysis of Student Authorship Over Time

Kan

Qureshi

Paracha

et al. 2021

AMEP

View full text Add to dashboard Cite

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“…20 In a study of worldwide emergency medicine researchers' productivity, the h-index had the best coefficient of determination of productivity compared with number of published articles, impact factor, or number of citations. 20 The highest h-index was from the PECARN network closely followed by the PERC, PEM CRC, and PREDICT (Table 2). The Altmetric Attention Scores can be used to quickly identify which publications have been widely discussed and shared among academic and broader audiences.…”

Section: Discussionmentioning

confidence: 99%

“…This may reflect a more mature network's stage of development with the production of high-quality research. The h -index is a metric to evaluate research productivity, and it varies by research field 20 . In a study of worldwide emergency medicine researchers' productivity, the h -index had the best coefficient of determination of productivity compared with number of published articles, impact factor, or number of citations 20 .…”

Section: Discussionmentioning

confidence: 99%

“…The h -index is a metric to evaluate research productivity, and it varies by research field 20 . In a study of worldwide emergency medicine researchers' productivity, the h -index had the best coefficient of determination of productivity compared with number of published articles, impact factor, or number of citations 20 . The highest h -index was from the PECARN network closely followed by the PERC, PEM CRC, and PREDICT (Table 2).…”

Section: Discussionmentioning

confidence: 99%

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A Bibliometric Analysis of Global Pediatric Emergency Medicine Research Networks

et al. 2021

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Objectives: During the last 3 decades newly formed pediatric emergency medicine (PEM) research networks have been publishing research. A desire of these networks is to produce and disseminate research to improve patient health and outcomes. The aims of the study were to quantitatively analyze and compare the literature by PEM research networks globally through numeric and visual bibliometrics. Methods: A bibliometric analysis of articles published from 1994 to 2019 (26 years) by authors from PEM research networks globally were retrieved using PubMed, Web of Science (Thompson Reuters), and accessing individual research network databases. Bibliometric analysis was performed utilizing Web of Science, VOSviewer, and Dimensions. Research was quantified to ascertain the number of articles, related articles, citations, and Altmetric attention score.Results: A total of 493 articles were published across 9 research networks in 3 decades. Pediatric Emergency Care Applied Research Network produced the most articles, citations, and h-index of all networks. We identified 3 main groupings of productive authors across the networks who collaborate globally. The sex of the first author was female in 46% of publications, and the corresponding author(s) was female in 45%. A nonsignificant moderate positive correlation between the number of years publishing and the number of publications was identified. There was nonsignificant moderate negative association between the number of countries in a network and total publications per annum. Conclusions:This study is the first bibliometric analysis of publications from PEM research networks that collaborate globally. Exploring the relationships of numerical bibliometric indicators and visualizations of productivity will benefit the understanding of the generation, reach, and dissemination of PEM research within the global research community.

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“…Research to predict these indices has also been reported. Many studies have already been conducted to predict future h-index values [30][31][32][33]. Acuna et al calculated an equation for predicting h-index.…”

Section: Previous Literaturementioning

confidence: 99%

Predictive analysis of multiple future scientific impacts by embedding a heterogeneous network

et al. 2022

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Identifying promising research as early as possible is vital to determine which research deserves investment. Additionally, developing a technology for automatically predicting future research trends is necessary because of increasing digital publications and research fragmentation. In previous studies, many researchers have performed the prediction of scientific indices using specially designed features for each index. However, this does not capture real research trends. It is necessary to develop a more integrated method to capture actual research trends from various directions. Recent deep learning technology integrates different individual models and makes it easier to construct more general-purpose models. The purpose of this paper is to show the possibility of integrating multiple prediction models for scientific indices by network-based representation learning. This paper will conduct predictive analysis of multiple future scientific impacts by embedding a heterogeneous network and showing that a network embedding method is a promising tool for capturing and expressing scientific trends. Experimental results show that the multiple heterogeneous network embedding improved 1.6 points than a single citation network embedding. Experimental results show better results than baseline for the number of indices, including the author h-index, the journal impact factor (JIF), and the Nature Index after three years from publication. These results suggest that distributed representations of a heterogeneous network for scientific papers are the basis for the automatic prediction of scientific trends.

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Analysis of h-index and other bibliometric markers of productivity and repercussion of a selected sample of worldwide emergency medicine researchers

Cited by 10 publications

References 18 publications

Effect of Medical Student Contributions on Academic Productivity: Analysis of Student Authorship Over Time

Effect of Medical Student Contributions on Academic Productivity: Analysis of Student Authorship Over Time

A Bibliometric Analysis of Global Pediatric Emergency Medicine Research Networks

Predictive analysis of multiple future scientific impacts by embedding a heterogeneous network

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