Correlation Analysis between ResearchGate Indicators and Academic Times Ranking in the Field of Computer Sciences

Background and aim: Nowadays, with the increasing use of Web 2 capabilities, the scientific evaluation of researchers has been considered using altmetrics. The aim of this study was to analyze the correlation between ResearchGate (RG) indicators and academic Times ranking among prominent faculty mem...

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Main Authors: Maryam Tavosi, Nader Naghshineh
Format: Article
Language:fas
Published: Babol University of Medical Sciences 2021-05-01
Series:مجله علم‌سنجی کاسپین
Subjects:
Online Access:http://cjs.mubabol.ac.ir/article-1-228-en.pdf
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author Maryam Tavosi
Nader Naghshineh
author_facet Maryam Tavosi
Nader Naghshineh
author_sort Maryam Tavosi
collection DOAJ
description Background and aim: Nowadays, with the increasing use of Web 2 capabilities, the scientific evaluation of researchers has been considered using altmetrics. The aim of this study was to analyze the correlation between ResearchGate (RG) indicators and academic Times ranking among prominent faculty members in the field of computer sciences affiliated with the top scientific centers (Times) in 2020. Materials and methods: The present study was conducted using the scientometric method and Altmetrics approach. The study population consisted of 100 faculty members affiliated with the top ten academic centers according to the Times Higher Education World University Rankings 2020 in the field of computer sciences at least with degree of associate professor, who were selected by stratified random sampling. Data were analyzed using SPSS 22. Findings: More than half of the population (100 faculty members) had no presence on the RG network. For 47 registered individuals, no significant relationship was found between the five indicators on RG of "RG score", "Citations", "Research Interest", "Research Items" and "Followers" with "Times Ranking" (P-Value> 0.05 in all of five). There was a significant relationship between the "reads" indicator and "Times ranking" in the form of mean inverse correlation (P-value = 0.04, Spearman correlation coefficient= -0.6). Conclusion: The Times' top international computer science researchers with the degrees of associate professor and higher had no more active presence on the RG network. In addition, no significant correlation was observed between "Times Rank" and RG indicators in their activities, except for the "reads".
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spelling doaj.art-f4cf85c8b24049128879da3ea23a818a2024-01-06T04:31:22ZfasBabol University of Medical Sciencesمجله علم‌سنجی کاسپین2423-47102383-157X2021-05-01818794Correlation Analysis between ResearchGate Indicators and Academic Times Ranking in the Field of Computer SciencesMaryam Tavosi0Nader Naghshineh1 Faculty of Management, University of Tehran, Tehran, Iran Department of Knowledge and Information Science, Faculty of Management, University of Tehran, Tehran, Iran Background and aim: Nowadays, with the increasing use of Web 2 capabilities, the scientific evaluation of researchers has been considered using altmetrics. The aim of this study was to analyze the correlation between ResearchGate (RG) indicators and academic Times ranking among prominent faculty members in the field of computer sciences affiliated with the top scientific centers (Times) in 2020. Materials and methods: The present study was conducted using the scientometric method and Altmetrics approach. The study population consisted of 100 faculty members affiliated with the top ten academic centers according to the Times Higher Education World University Rankings 2020 in the field of computer sciences at least with degree of associate professor, who were selected by stratified random sampling. Data were analyzed using SPSS 22. Findings: More than half of the population (100 faculty members) had no presence on the RG network. For 47 registered individuals, no significant relationship was found between the five indicators on RG of "RG score", "Citations", "Research Interest", "Research Items" and "Followers" with "Times Ranking" (P-Value> 0.05 in all of five). There was a significant relationship between the "reads" indicator and "Times ranking" in the form of mean inverse correlation (P-value = 0.04, Spearman correlation coefficient= -0.6). Conclusion: The Times' top international computer science researchers with the degrees of associate professor and higher had no more active presence on the RG network. In addition, no significant correlation was observed between "Times Rank" and RG indicators in their activities, except for the "reads".http://cjs.mubabol.ac.ir/article-1-228-en.pdfresearchgaterg scorealtmetricsscientometrics 2web 2
spellingShingle Maryam Tavosi
Nader Naghshineh
Correlation Analysis between ResearchGate Indicators and Academic Times Ranking in the Field of Computer Sciences
مجله علم‌سنجی کاسپین
researchgate
rg score
altmetrics
scientometrics 2
web 2
title Correlation Analysis between ResearchGate Indicators and Academic Times Ranking in the Field of Computer Sciences
title_full Correlation Analysis between ResearchGate Indicators and Academic Times Ranking in the Field of Computer Sciences
title_fullStr Correlation Analysis between ResearchGate Indicators and Academic Times Ranking in the Field of Computer Sciences
title_full_unstemmed Correlation Analysis between ResearchGate Indicators and Academic Times Ranking in the Field of Computer Sciences
title_short Correlation Analysis between ResearchGate Indicators and Academic Times Ranking in the Field of Computer Sciences
title_sort correlation analysis between researchgate indicators and academic times ranking in the field of computer sciences
topic researchgate
rg score
altmetrics
scientometrics 2
web 2
url http://cjs.mubabol.ac.ir/article-1-228-en.pdf
work_keys_str_mv AT maryamtavosi correlationanalysisbetweenresearchgateindicatorsandacademictimesrankinginthefieldofcomputersciences
AT nadernaghshineh correlationanalysisbetweenresearchgateindicatorsandacademictimesrankinginthefieldofcomputersciences