In Search of a Silver Bullet: Evaluating Researchers’ Performance in Bosnia and Herzegovina

Memišević, Haris; Pasalic, Arnela; Mujkanović, Edin; Memisevic, Mahira

doi:10.5530/jscires.8.3.27

Cited by 3 publications

(4 citation statements)

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“…The Research interest score appears to capture the best from all the worlds. At present, no single metric exists which is appropriate for the evaluation of the author-level impact [1]. Although we are still far away from a single number that will be able to wholly capture scholars' scientific impact, this new measure created by RG is most certainly a step in the right direction of finding a single measure that can approximate researchers' performance.…”

Section: Discussionmentioning

confidence: 99%

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Review: Research Interest Score in Researchgate: The Silver Bullet of Scientometrics or the Emperor’s New Clothes?

Memišević

2022

CAJMHE

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Introduction: Scientists have long searched for the best way to evaluate scientific performance and have come up with numerous indices. Probably, the most famous index is the h-index, a metric that has been used widely in science metrics ever since it appeared. In this study, I evaluated the potential of the new metric Research Interest Score created by ResearchGate (RG). Methods: I analyzed the different metric indices for 88 most cited researchers at the University of Sarajevo. In particular, the number of citations and h-indexes were taken from the Web of Science, Scopus, and Google Scholar databases for these researchers and were correlated with their Research Interest Scores. As a measure of correlation, Pearson correlation coefficients was used. In addition, I conducted a regression analysis to examine how scientometric indices from the Web of Science, Scopus, and Google Scholar predict the Research Interest Score. Results: The Research Interest Score was most strongly correlated with the number of Google Scholar Citations, followed by the Web of Science citations. Interestingly, the Research Interest Score was not highly correlated with any of the h-indexes. The regression model was statistically significant and explained 90% of the variance in the Research Interest Scores predicted by the Web of Science, Scopus, and Google Scholar metric indices. The strongest predictor of the Research Interest Score was the number of Google Scholar citations. Conclusions: The Research Interest Score, a new scientometric measure created by ResearchGate, certainly has a potential to be used as a valid measure of scientific impact.

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Section: Discussionmentioning

confidence: 99%

“…Universities all over the world evaluate the scientific contribution of their staff on a regular basis. Based on these evaluations, scholars are being promoted, getting tenures, and obtaining grants [1]. However, the universal question still haunts the academic community: What is the best measure of scientists' impact?…”

Section: Interestmentioning

confidence: 99%

Review: Research Interest Score in Researchgate: The Silver Bullet of Scientometrics or the Emperor’s New Clothes?

Memišević

2022

CAJMHE

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“…He reported that RG RIS was strongly (r = 0.84 to 0.90) associated with total citations in Google Scholar (GS), Scopus, and Web of Science (WoS), but RG RIS was only moderately (r = 0.50 to 0.54) associated with the Hirsch index (h) for these three bibliometric databases. The high correlations with citations, regression analysis, and Principal Component Analysis all indicate that the RG RIS is likely dominated by citations and full-text reads [5,26] and may not provide meaningful information beyond citations. Copiello [6] also reported this little additional information beyond citations was provided by a similar weighted metric (Altmetric Attention Score) from Altemetric.com.…”

Section: Introductionmentioning

confidence: 99%

Association of ResearchGate research influence score with other metrics of top cited sports biomechanics scholars

Knudson

2023

Biomedical Human Kinetics

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Study aim: Scientific networking sites are increasingly popular in connecting researchers and providing influence metrics, however the research on measures like the ResearchGate Research Influence Score (RG RIS) are limited. This study documented the associations between RG RIS, usage, and prestige metrics from Google Scholar (GS), RG, and Scopus for top cited scientists in sports biomechanics. Material and methods: Research usage (total citations: C), prestige (Hirsch index: h), and RG RIS metrics were extracted from GS, RG, and Scopus for the top sixty cited scholars that used either the label “’73ports biomechanics” or “sport biomechanics” in their GS Profile. Results: RG RIS was strongly correlated (r = 0.796–0.895) with all usage and prestige metrics. There were very strong correlations among the three citation metrics (r = 0.929–0.967) and among the three h indexes (r = 0.960–0.974). Conclusions: The recent RG RIS does not provide unique scientific influence information about sport(s) biomechanics researchers beyond common citation metrics. The RG RIS was strongly associated with total citation and h-index values from GS, RG, and Scopus for top 60 cited sport(s) biomechanics researchers based on GS Profiles. The scientific usage and prestige factors previously reported in bibliometric research was supported by very strong associations among the three C and among the three h index values from these two scientific networking and one database service.

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“…The SCOPUS is an abstract and indexing database produced by Elsevier and covers abstracts and citations from 1966 to the present (Burnham, 2006 ). The SCOPUS database was selected for this analysis as it has broader coverage in the field of Social Sciences and Humanities than the Web of Science (Memisevic et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Content Analysis of Abstracts Published in Autism Journals in 2021: The year in Review

Memišević

Djipa

2022

J Autism Dev Disord

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Purpose Ever since Leo Kanner first described autism in 1943, the research in this field has grown immensely. In 2021 alone, 5837 SCOPUS indexed documents were published with a title that contained the words: “autism”, “autistic”, or “ASD”. The purpose of this study was to examine the most common topics of autism research in 2021 and present a geographical contribution to this research. Methods We performed a content analysis of 1102 abstracts from the articles published in 11 Autism journals in 2021. The following journals, indexed by the SCOPUS database, were included: Autism, Autism Research, Molecular Autism, Journal of Autism and Developmental Disorders, Research in Autism Spectrum Disorders, Focus on Autism and Other Developmental Disabilities, Education and Training in Autism and Developmental Disabilities, Review Journal of Autism and Developmental Disorders, Advances in Autism, Autism and Developmental Language Impairments , and Autism in Adulthood. Results According to the analysis, the main research topics were: mental health, social communication, social skills, quality of life, parenting stress, ADHD, Covid-19, self-efficacy, special education, and theory of mind. In relation to geographic distribution, most studies came from the USA, followed by the UK, Australia, and Canada. Conclusion Research topics were aligned with the priorities set by stakeholders in autism, most notably persons with autism themselves and their family members. There is a big gap in research production between developed countries and developing countries.

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In Search of a Silver Bullet: Evaluating Researchers’ Performance in Bosnia and Herzegovina

Cited by 3 publications

References 0 publications

Review: Research Interest Score in Researchgate: The Silver Bullet of Scientometrics or the Emperor’s New Clothes?

Review: Research Interest Score in Researchgate: The Silver Bullet of Scientometrics or the Emperor’s New Clothes?

Association of ResearchGate research influence score with other metrics of top cited sports biomechanics scholars

Content Analysis of Abstracts Published in Autism Journals in 2021: The year in Review

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