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Research evaluation of computer science publications using Altmetrics: a cohort study of Indian Central Universities

机译:应用Altmetrics计算机科学出版物的研究评估:印度中央大学的队列研究

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Purpose - Social interaction applications and reference tools are actively used by researchers to share and manage their research publications. Thus, this paper aims to determine the scholarly impact of selected Indian central universities.Design/methodology/approach - This study analyzed 669 articles having both Dimensions citations and Altmetric attention scores published by 35 Indian central universities for 4 subfields of Computer Science using Altmetric Explorer. This paper determined each university's contribution in the studied subfields of Computer Science and the correlation among Altmetric attention score (aggregated and individual), Dimensions citation, and Mendeley readership counts for all 669 articles and stratified percentile sets of top 25 %, and top 50% of the overall number of articles.Findings - The findings showed that Jawaharlal Nehru University had the maximum Altmetric attention score, Banaras Hindu University received the maximum Dimensions citation, and University of Hyderabad (UoH) received the maximum number of Mendeley readers. Each central university was examined individually and then ranked based on their median values of Dimensions citations and Altmetric attention scores. Further, Twitter had the maximum Altmetric coverage, followed by Google+, Patent and Facebook for the retrieved articles. A significant strong positive correlation was observed between the Dimensions citation and Mendeley readership counts for all the three categories.Research limitations/implications - Both Altmetric attention scores and Dimensions citations can help funding agencies to assess and evaluate the research productivity of these universities, thus, making important decisions such as increasing, decreasing, re-distributing their funds.Originality/value - The current body of research is focused mostly on relationships between citations and individual Altmetric indicators predominantly. For most of the studies, the citations were retrieved from Scopus, Web of Science or Google Scholar database. It was observed that by far, no study had examined the relationship between citations retrieved from Dimensions database, Altmetrics scores (both aggregated and individual) and Mendeley readership counts.
机译:目的 - 研究人员积极使用社交交互应用和参考工具来分享和管理他们的研究出版物。因此,本文旨在确定所选印度中央大学的学术影响.Design/Methodology/Approach - 这项研究分析了669篇文章,其中669篇尺寸引用和矿产关注分数由35个印度中央大学使用Altmerric Explorer的计算机科学4个子领域出版。本文确定了每个大学在计算机科学的研究子场中的贡献,以及所有669篇文章和孟德利读者和孟德利读取仓库的相关性的相关性,以及分层百分位数的前25%,最高50%在整个文章的总体数量中。研究结果表明,Jawaharlal Nehru大学拥有最大的矿产关注评分,Banaras Hindu大学获得了最大的尺寸引用,海德拉巴大学(UOH)收到了Mendeley读者的最大数量。每个中央大学都被单独检查,然后根据其尺寸引用的中位数和矿产关注分数排列。此外,Twitter具有最大的矿产覆盖范围,其次是Google+,专利和Facebook的检索到的文章。在所有三个类别的尺寸引用和Mendeley读者录切之间观察到显着强烈的正相关性。研究限制/影响 - 占矿物质注意力分数和尺寸引用,可以帮助资助机构评估和评估这些大学的研究生产力,因此制定重要决策,如增加,减少,重新分配他们的资金。更多的研究 - 目前的研究机构主要集中在引用和个人矿产指标之间的关系。对于大多数研究,引用来自Scopus,科学网站或Google Scholar数据库的Scopus。观察到,到目前为止,没有研究过从维度数据库中检索的引文之间的关系,Altmetrics分数(聚合和个人)和Mendeley读者计数。

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