Influence of interdisciplinarity of scientific papers on the durability of citation diffusion: A perspective from citation discontinuance

IF 3.4 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Informetrics Pub Date : 2024-03-27 DOI:10.1016/j.joi.2024.101525

Jianhua Hou , Hao Li , Yang Zhang

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Abstract

Whether interdisciplinarity leads to greater success in research remains a question that is still unresolved. Investigating the impact of interdisciplinarity of scientific papers on the durability of their citation diffusion is of significant importance. Combining the concept of discontinuance in the theory of innovation diffusion and citation trajectory scenarios, this study proposes the definition and measurement indicators of Citation Discontinuance (CD), and examines the feasibility of using CD as a descriptor for the durability of citation diffusion. Using CD-related features as the dependent variable, hierarchical multiple regression is employed to explore the influence of interdisciplinarity of scientific papers on the durability of citation diffusion. The findings reveal that CD is commonly observed in citation diffusion and can serve as an indicator for describing the durability of citation diffusion. From the perspective of CD, the interdisciplinarity of scientific papers shows a positive impact on the durability of citation diffusion. This effect will also vary by discipline.

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科学论文的跨学科性对引文扩散持久性的影响：从引文中断的角度看

跨学科是否会带来更大的科研成功，这个问题至今仍悬而未决。研究科技论文的跨学科性对其引文扩散持久性的影响具有重要意义。本研究结合创新扩散理论中的非连续性概念和引文轨迹情景，提出了引文非连续性（Citation Discontinuance，CD）的定义和测量指标，并考察了以CD作为引文扩散持久性描述指标的可行性。以CD相关特征为因变量，采用分层多元回归法探讨了科技论文跨学科性对引文扩散持久性的影响。研究结果表明，跨学科性是引文扩散中普遍存在的现象，可以作为描述引文扩散持久性的一个指标。从CD的角度看，科学论文的跨学科性对引文扩散的持久性有积极影响。这种影响也会因学科而异。

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来源期刊

Journal of Informetrics Social Sciences-Library and Information Sciences

CiteScore

6.40

自引率

16.20%

发文量

期刊介绍： Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.