ResearchGate Metrics’ Behavior and Its Correlation with RG Score and Scopus Indicators

IF 1.5 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Saeideh Valizadeh-Haghi, Hamed Nasibi-Sis, M. Shekofteh, S. Rahmatizadeh
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引用次数: 3

Abstract

Objective: Social networking sites are appropriate tools for sharing and exposing scientific works to increase citations. The objectives of the present study are to investigate the activity of Iranian scholars in the medical sciences in ResearchGate and to explore the effect of each of the four ResearchGate metrics on the RG score. Moreover, the citation metrics of the faculty members in Scopus and the relationship between these metrics and the RG score were explored. Methods: The study population included all SBMU faculty members who have profiles in ResearchGate (N=950). The data were collected through ResearchGate and Scopus in January 2021. The Spearman correlation coefficient was applied to examine the relationship between ResearchGate metrics and Scopus indicators as well as to determine the effect of each ResearchGate metric on the RG score. Results: The findings revealed that the publication sharing metric had the highest correlation (0.918) with the RG score and had the greatest impact on it (p-value <0.001), while the question asking metric showed the lowest correlation (0.11). Moreover, there was a significant relationship between the RG score and Scopus citation metrics (p-value <0.05). Furthermore, all four RG metrics had a positive and significant relationship with Scopus indicators (p-value <0.05), in which the number of shared publications had the highest correlation compared to other RG metrics. Conclusion: Researchers’ participation in the ResearchGate social network is effective in increasing citation indicators. Therefore, more activity in the ResearchGate social network may have favorable results in improving universities’ ranking.
ResearchGate Metrics的行为及其与RG评分和Scopus指标的相关性
目的:社交网站是分享和曝光科学作品以增加引用的合适工具。本研究的目的是调查伊朗医学学者在ResearchGate的活动情况,并探讨ResearchGate四项指标对RG评分的影响。此外,还探讨了Scopus中教师的引文指标以及这些指标与RG分数之间的关系。方法:研究人群包括所有在ResearchGate有档案的SBMU教职员工(N=950)。该数据于2021年1月通过ResearchGate和Scopus收集。Spearman相关系数用于检验ResearchGate指标与Scopus指标之间的关系,并确定每个ResearchGate指标对RG评分的影响。结果:出版物共享指标与RG评分的相关性最高(0.918),对RG评分的影响最大(p值<0.001),而提问指标的相关性最低(0.11)。RG得分与Scopus被引指标之间存在显著相关(p值<0.05)。此外,所有四个RG指标都与Scopus指标呈显著正相关(p值<0.05),其中共享出版物数量与其他RG指标的相关性最高。结论:科研人员参与ResearchGate社交网络对提高引文指标是有效的。因此,ResearchGate社交网络的活跃程度越高,对大学排名的提升就越有利。
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来源期刊
Information Technology and Libraries
Information Technology and Libraries 管理科学-计算机:信息系统
CiteScore
2.90
自引率
5.60%
发文量
25
审稿时长
1 months
期刊介绍: Information Technology and Libraries publishes original material related to all aspects of information technology in all types of libraries. Topic areas include, but are not limited to, library automation, digital libraries, metadata, identity management, distributed systems and networks, computer security, intellectual property rights, technical standards, geographic information systems, desktop applications, information discovery tools, web-scale library services, cloud computing, digital preservation, data curation, virtualization, search-engine optimization, emerging technologies, social networking, open data, the semantic web, mobile services and applications, usability, universal access to technology, library consortia, vendor relations, and digital humanities.
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