Mahyar Khorasani, Jithin Kozhuthala Veetil, A. Ghasemi, I. Gibson
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引用次数: 0
摘要
本文利用引文统计功能,对目前最流行的科学计量学平台上的学科相关研究指标进行了研究。已经进行了定量分析,以确定引用次数最多和最少的学科领域,以表明研究中最活跃和最具活力的领域。根据统计分析和检索期间收到的引用次数对主题领域进行分类。我们对SCImago期刊分类涵盖的所有研究领域中排名靠前的期刊上的大量文章进行了分析。生成了27个研究学科领域的综合数据集,包括313个学科类别和81个高排名期刊。结果表明,被引次数最多的是科学和与科学相关的学科领域。计算机科学和数学学科领域的研究指标最低,高被引出版物的数量最少。Web of Science在学科相关评估方面的表现优于Scopus。对频率数据的分析表明,Google Scholar对低被引出版物的引用比Scopus或Web of Science少。然而,对于高被引的出版物,Google Scholar的表现更好。Web of Science在大多数被调查的学科领域中显示出最好的一致性。
Subject-Related Research Metrics in Different Scientometrics Platforms
abstract:This article investigates subject-related research metrics from the most popular scientometrics platforms with the capability of citation count. Quantitative analyses have been carried out to determine the most- to the least-cited subject areas to indicate the most active and dynamic fields in research. Subject areas are classified based on statistical analyses and the number of citations received in the period of search. Numerous articles were analyzed from top-ranked journals in all research fields covered by SCImago journal classification. A comprehensive data set was generated in 27 research subject areas, including 313 subject categories and 81 high-ranked journals. Results showed that the highest number of citations were related to the sciences and science-related subject areas. The subject areas of computer science and mathematics had the lowest research metrics and the smallest number of highly cited publications. Web of Science performed better than Scopus for subject-related evaluations. Analysis of frequency data showed that Google Scholar cited fewer papers for low-cited publications than did Scopus or Web of Science. For highly cited publications, however, Google Scholar was found to have better performance. Web of Science showed the best consistency in citation coverage in most of the investigated subject areas.