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ResearchGate Altmetric scores and Scopus bibliometric indicators among lecturers
Performance Measurement and Metrics ( IF 1.8 ) Pub Date : 2020-11-13 , DOI: 10.1108/pmm-04-2020-0020
Hamed Nasibi-Sis , Saeideh Valizadeh-Haghi , Maryam Shekofteh

Purpose

Many researchers in ResearchGate (RG) engage in scholarly activity and share research findings. The researchers' activities in this social network may increase the probability of their works being cited. Thus, this study aims to examine the status of RG indices and the Scopus citation indicators of the allied medical sciences lecturers and their association with their academic rankings.

Design/methodology/approach

A cross-sectional, descriptive analytical study was performed. As a first step, the names of all 50 lecturers at the School of Allied Medical Sciences were searched through RG to find all the lecturers with profiles. Then, the h-index as well as the number of citations by them were extracted from Scopus. Spearman's correlation coefficient test was performed to explore the association of the RG score with the Scopus citation indicators and the academic rankings of the lecturers.

Findings

The findings demonstrated that there is a statistically significant relationship between the RG indices (except the question and answer indices) and the Scopus citation indicators with the academic rankings of the lecturers (p-value < 0.01).

Originality/value

Knowledge of the significant relationship between the RG indices and the Scopus citation indicators may encourage the lecturers to make more efforts to be active on RG. Furthermore, policymakers can encourage their researchers and lecturers to be more active in this scientific social network, which could lead to promoting the university rankings in the global and national rankings systems.



中文翻译:

讲师中的ResearchGate Altmetric分数和Scopus文献计量指标

目的

ResearchGate(RG)的许多研究人员从事学术活动并分享研究成果。研究人员在该社交网络中的活动可能会增加其作品被引用的可能性。因此,本研究旨在检查相关医学讲师的RG指数和Scopus引用指标的状况,以及它们与学术排名的关系。

设计/方法/方法

进行了横截面描述性分析研究。第一步,通过RG搜索同盟医学院的所有50名讲师的姓名,以查找所有具有简介的讲师。然后,从Scopus中提取h指数及其引用次数。进行了Spearman相关系数测试,以探讨RG得分与Scopus引用指标和讲师的学术排名之间的关系。

发现

研究结果表明,RG指数(问答题除外)与Scopus引用指标与讲师的学术排名之间存在统计学上的显着关系(p值<0.01)。

创意/价值

了解RG指数与Scopus引用指标之间的显着关系可能会鼓励讲师们为在RG上保持积极性做出更多的努力。此外,政策制定者可以鼓励他们的研究人员和讲师更加积极地参与这一科学的社交网络,这可以促进在全球和国家排名系统中提升大学排名。

更新日期:2020-11-13
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