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Exploring the interdisciplinarity patterns of highly cited papers
Journal of Informetrics ( IF 3.7 ) Pub Date : 2020-12-31 , DOI: 10.1016/j.joi.2020.101124
Shiji Chen , Junping Qiu , Clément Arsenault , Vincent Larivière

This study explores the relationship between interdisciplinarity and the citation impact of highly cited papers. In this paper, interdisciplinarity is investigated by comparing the dimensions of disciplinary diversity (variety, balance, and disparity) and the typical integration indicators (i.e., the Rao-Stirling index (RS) and the Leinster–Cobbold Diversity Index (LCDiv)) of all papers published in 2000 and indexed in Clarivate Analytics’ Web of Science. These papers are categorized into six percentile rank classes according to their citation rates, and the interdisciplinarity among these percentile rank classes is compared. Our results demonstrate that, whether control variables are considered or not, highly cited papers always exhibit higher variety and disparity, but they also exhibit lower balance. In terms of the integration interdisciplinarity indicators, the RS and LCDiv both have a positive effect on citation impact. From the perspective of effect size, our results suggest that the effect of variety on citation impact is most significant, followed by disparity and then balance. These results indicate that variety is likely the most important interdisciplinary factor for citation impact.



中文翻译:

探索高引用论文的跨学科模式

这项研究探讨了跨学科性与被高引用论文的引文影响之间的关系。在本文中,通过比较学科多样性的维度(多样性,平衡性和差异)和典型的整合指标(即Rao-Stirling指数(RS)和Leinster-Cobbold多样性指数(LCDiv))来研究跨学科性所有2000年发表的论文都被Clarivate Analytics的Web of Science收录。这些论文根据其引用率分为六个百分等级等级,并比较了这些百分等级等级之间的跨学科性。我们的结果表明,无论是否考虑控制变量,被高引用的论文总是表现出较高的多样性和差异性,但它们的平衡性也较低。就综合跨学科指标而言,RS和LCDiv均对引文影响产生积极影响。从效果大小的角度来看,我们的结果表明,变化对引用影响的影响最显着,其次是差异,然后是平衡。这些结果表明,多样性可能是影响引用影响力的最重要的跨学科因素。

更新日期:2020-12-31
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