"我想在第一季度发表论文,但找不到第一季度":跨学科类别和主题的期刊四分位分布研究

IF 3.4 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Denis Kosyakov, Vladimir Pislyakov
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引用次数: 0

摘要

在决定在哪里发表研究成果时,选择关注期刊的影响因子或其在权威排名中的四分位数,可能是出于各种原因。这些原因可能包括个人声望、提高个人简历的吸引力、希望增加与发表论文相关的奖励、满足科学基金的条件或满足资格要求。虽然这些考虑偏离了 "纯科学 "的视角,但事实上它们被广泛采用。我们的研究表明,传统的期刊四分法可能会使某些学科类别享有特权,而使其他学科类别处于不利地位。期刊引文报告》(JCR)和类似排名中的学科类别在不同期刊四分位数中的文章数量是不平衡的。这可归因于三个因素:期刊在四分位数中的分布、期刊数量的变化以及期刊归入多个学科时选择最高的四分位数。较窄的研究领域,如 SciVal 的主题集群,可能完全没有专门的 Q1 期刊,甚至根本没有此类期刊。出版商在为新刊物选题时,可能也会对这一发现感兴趣。我们的研究揭示了学科间的明显不平等,这为我们在评估绩效和制定科学政策时反对使用四分位数指标(至少是直接使用)提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“I'd like to publish in Q1, but there's no Q1 to be found”: Study of journal quartile distributions across subject categories and topics

The choice to focus on a journal's impact factor, or its quartile, in authoritative rankings, when deciding where to publish research results can be driven by various reasons. These may include personal prestige, enhancing the appeal of a CV, the desire to increase publication-related rewards, meeting the conditions of scientific funds, or fulfilling qualification requirements. While these considerations deviate from the “pure science” perspective, the fact is that they are widely adopted. Our research demonstrates that the conventional division into journal quartiles may privilege certain disciplinary categories while disadvantaging others. Disciplinary categories in Journal Citation Reports (JCR) and similar rankings are imbalanced in terms of the number of articles across different journal quartiles. This is attributable to three factors: the distribution of journals across quartiles, the varying volume of journals, and the selection of the highest quartile when journals are categorized under multiple disciplines. Narrower research areas, such as Topic Clusters from SciVal, may completely lack Q1 journals dedicated to them, or even any such journals at all. This finding might also interest publishers when selecting topics for launching new titles. The apparent inequality between disciplines unveiled in our study offers a new perspective to argue against the use of quartile metrics, at least in a straightforward manner, when evaluating performance and shaping science policies.

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来源期刊
Journal of Informetrics
Journal of Informetrics Social Sciences-Library and Information Sciences
CiteScore
6.40
自引率
16.20%
发文量
95
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.
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