Relationships of field-normalized and non-normalized scientometrics with the Physical Education Web-Qualis grades

R. Kons, M. Lopes, F. J. Milan, M. Milistetd, K. Silva, D. Detanico, J. V. Nascimento
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Abstract

– This study aimed (1) to verify the relationship between the JIF, Eigenfactor, Citescore and SJR metrics of Physical Education journals throughout Qualis 2013-2016; and (2) to analyze their associations with the field-concerned Web-Qualis grades (based on the 2013-2016 quadrennium criteria). WebQualis grades, which refers to 2015-2018 data, were acquired by accessing officially available data. The scientometrics Journal Impact Factor (JIF), Citescore, Eigenfactor, and Scimago Journal Rank (SJR) for the years 2013 to 2016 and 2018 were extracted from official Clarivate Analytics and Elsevier sources. Approximately half of Physical Education journals included in the 2018 WebQualis database were indexed in Web of Science Collection and Scopus databases. The main results demonstrated high and stable appeared bivariate correlations between all scientometrics from 2013 to 2016. Both JIF, Eigenfactor, Citescore and SJR were associated with WebQualis grades. However, better adjustment of parameters was observed in the model that included SJR as the WebQualis predictor. The field normalized SJR appeared to better predict the WebQualis defined by the 2013-2016 Qualis criteria, which includes the adherence indicator. If researchers consider that distinct research areas are not equally weighted and require specific evaluation, as the authors suggest, use the normalized metrics to classify journals in Brazilian scenarium.
场归一化与非归一化科学计量学与体育网络质量等级的关系
-本研究旨在(1)验证2013-2016年Qualis期间体育期刊JIF、Eigenfactor、Citescore和SJR指标之间的关系;(2)分析其与相关领域Web-Qualis等级的关联(基于2013-2016四年期标准)。WebQualis评分参考2015-2018年数据,通过访问官方可用数据获得。2013年至2016年和2018年的scientometics期刊影响因子(JIF)、Citescore、Eigenfactor和Scimago期刊排名(SJR)均取自Clarivate Analytics和Elsevier的官方来源。2018年WebQualis数据库中包含的大约一半的体育期刊被Web of Science Collection和Scopus数据库索引。主要结果表明,2013 - 2016年各科学计量指标间呈现高度且稳定的双变量相关性。JIF、Eigenfactor、Citescore和SJR都与WebQualis评分相关。然而,在包含SJR作为WebQualis预测因子的模型中,观察到更好的参数调整。现场标准化SJR似乎可以更好地预测2013-2016年Qualis标准定义的WebQualis,其中包括依从性指标。如果研究人员认为不同的研究领域的权重不相等,需要进行特定的评估,如作者所建议的那样,可以使用归一化的指标对巴西情景中的期刊进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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