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Citation Rate of Highly-Cited Papers in 100 Kinesiology-Related Journals

机译:100篇与运动机能学相关期刊的高被引论文引用率

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摘要

This study extended previous research on several citation-based bibliometric variables for highly cited articles in a large (N = 100) number of journals related to Kinesiology. Total citations and citation rate of the 30 most highly cited articles in each journal were identified by searchers of Google Scholar (GS). Other major biblometric variables for these journals were obtained from three databases: Thomson-Reuters' Journal Citation Reports, SCImago Journal and Country Rank, and Eigenfactor.org. Two variables (SCImago Journal Rank and the Impact Factor) were aligned with journal impact, and two variables (Eigenfactor and Hirsh index) were aligned with journal prestige. There was great variation in median citation rates of highly cited articles across these journals indexed in GS. Correlations confirmed the different impact and prestige structure in these Kinesiology journals, which has also been previously observed in Kinesiology and other academic fields. There is a need for scholar ratings of Kinesiology journals because of the disparate citation rates in different sub-disciplines and the multi-factorial nature of journal influence, as well as to improve the recognition of Kinesiology as a distinct field of study.
机译:这项研究扩展了以前的研究,涉及大量(N = 100)与运动机能学相关的期刊中针对高引用文章的几种基于引文的文献计量变量。 Google学术搜索(GS)的搜索者确定了每本期刊中被引用次数最多的30篇文章的总引用和引用率。这些期刊的其他主要文献计量变量可从三个数据库中获得:汤姆森-路透社的期刊引证报告,SCImago期刊和国家排名以及Eigenfactor.org。将两个变量(SCImago期刊排名和影响因子)与期刊影响力对齐,将两个变量(特征因子和Hirsh指数)与期刊声望对齐。在GS索引的这些期刊中,高引用文章的中位引用率存在很大差异。相关性证实了这些运动机能学期刊中不同的影响和声望结构,这在运动机能学和其他学术领域以前也已观察到。由于不同子学科的引用率不同,期刊影响力具有多因素性质,因此需要对运动机能学期刊进行学者评级,以及提高对运动机能学作为独特研究领域的认识。

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