The significant yet short-term influence of research covidization on journal citation metrics

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xiang Zheng, Chaoqun Ni
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引用次数: 0

Abstract

COVID-19 has emerged as a major research hotspot and trending topic in recent years, leading to increased publications and citations of related papers. While concerns exist about the potential citation boost in journals publishing these papers, the specifics are not fully understood. This study uses a generalized difference-in-differences approach to examine the impact of publishing COVID-19 papers on journal citation metrics in the Health Sciences fields. Findings indicate that journals publishing COVID-19 papers in 2020 received significantly higher citation premiums due to COVID-19 in 2020 and continued to benefit from the premium in 2021 in certain fields. In contrast, journals that began publishing COVID-19 papers in 2021 experienced weaker citation premiums. The citation premiums exhibit some negative spillover effect: Although the publication volume of non-COVID-19 papers also surged, these papers experienced insignificant or negative citation gains, even when published in the same journals as COVID-19 papers. COVID-19 papers published in high-impact journals brought higher citation premiums than those in low-impact journals in most fields, indicating a potential Matthew effect. These citation premiums can affect various citation-based journal metrics, such as our simulated impact factor and SCImago Journal Rank, to different degrees. Compared to the simulated impact factor, other normalized journal metrics are less influenced by citation premiums. The results highlight a “gold rush” pattern in which early entrants establish their citation advantage in research hotspots and caution against using citation-based metrics for research assessment.

Abstract Image

研究共同化对期刊引文指标的短期重大影响
近年来,COVID-19 已成为一个主要的研究热点和流行话题,导致相关论文的发表和引用量不断增加。虽然人们对发表这些论文的期刊可能会提高引文量表示担忧,但具体情况并不完全清楚。本研究采用广义差分法研究发表 COVID-19 论文对健康科学领域期刊引文指标的影响。研究结果表明,在 2020 年发表 COVID-19 论文的期刊在 2020 年因 COVID-19 而获得的引用溢价显著提高,并在 2021 年继续从某些领域的溢价中获益。相比之下,2021 年开始发表 COVID-19 论文的期刊的引文溢价较低。引文溢价表现出一定的负溢出效应:虽然非 COVID-19 论文的发表量也出现了激增,但这些论文的引文收益并不显著,甚至为负值,即使与 COVID-19 论文发表在同一期刊上也是如此。在大多数领域,发表在高影响力期刊上的 COVID-19 论文比发表在低影响力期刊上的论文获得了更高的引用溢价,这表明潜在的马太效应。这些引文溢价会在不同程度上影响各种基于引文的期刊指标,如我们的模拟影响因子和 SCImago 期刊排名。与模拟影响因子相比,其他规范化期刊指标受引文溢价的影响较小。这些结果凸显了一种 "淘金热 "模式,即早期进入者在研究热点地区建立了自己的引文优势,因此我们要警惕使用基于引文的指标进行研究评估。
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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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