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Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals.

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Titel: Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals.
Autoren: Rosenblatt M; Department of Biomedical Engineering, Yale University, New Haven, United States., Mehta S; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States., Peterson H; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States., Dadashkarimi J; Department of Computer Science, Yale University, New Haven, United States., Rodriguez R; Interdepartmental Neuroscience Program, Yale University, New Haven, United States., Foster ML; Department of Biomedical Engineering, Yale University, New Haven, United States., Adkinson BD; Interdepartmental Neuroscience Program, Yale University, New Haven, United States., Liang Q; Department of Biomedical Engineering, Yale University, New Haven, United States., Kimble VM; Interdepartmental Neuroscience Program, Yale University, New Haven, United States., Ye J; Interdepartmental Neuroscience Program, Yale University, New Haven, United States., McCusker MC; Interdepartmental Neuroscience Program, Yale University, New Haven, United States., Farruggia MC; Interdepartmental Neuroscience Program, Yale University, New Haven, United States., Rolison MJ; Child Study Center, Yale School of Medicine, New Haven, United States., Westwater ML; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States., Jiang R; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States., Noble S; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States.; Department of Bioengineering, Northeastern University, Boston, United States.; Department of Psychology, Northeastern University, Boston, United States., Scheinost D; Department of Biomedical Engineering, Yale University, New Haven, United States.; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States.; Interdepartmental Neuroscience Program, Yale University, New Haven, United States.; Child Study Center, Yale School of Medicine, New Haven, United States.; 8Department of Statistics & Data Science, Yale University, New Haven, United States.
Quelle: ELife [Elife] 2025 May 14; Vol. 12. Date of Electronic Publication: 2025 May 14.
Publikationsart: Journal Article
Sprache: English
Info zur Zeitschrift: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Imprint Name(s): Original Publication: Cambridge, UK : eLife Sciences Publications, Ltd., 2012-
MeSH-Schlagworte: Neurosciences*/trends , Bibliometrics* , Periodicals as Topic*/trends , Periodicals as Topic*/statistics & numerical data , Psychiatry* , Neurology*/trends , Journal Impact Factor* , Publishing*/trends, Humans ; Female ; Male
Abstract: Competing Interests: MR, SM, HP, JD, RR, MF, BA, QL, VK, JY, MM, MF, MR, MW, RJ, SN, DS No competing interests declared
Citation metrics influence academic reputation and career trajectories. Recent works have highlighted flaws in citation practices in the Neurosciences, such as the under-citation of women. However, self-citation rates-or how much authors cite themselves-have not yet been comprehensively investigated in the Neurosciences. This work characterizes self-citation rates in basic, translational, and clinical Neuroscience literature by collating 100,347 articles from 63 journals between the years 2000-2020. In analyzing over five million citations, we demonstrate four key findings: (1) increasing self-citation rates of Last Authors relative to First Authors, (2) lower self-citation rates in low- and middle-income countries, (3) gender differences in self-citation stemming from differences in the number of previously published papers, and (4) variations in self-citation rates by field. Our characterization of self-citation provides insight into citation practices that shape the perceived influence of authors in the Neurosciences, which in turn may impact what type of scientific research is done and who gets the opportunity to do it.
(© 2023, Rosenblatt et al.)
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Contributed Indexing: Keywords: bibliometrics; neurology; neuroscience; none; psychiatry; self-citation
Entry Date(s): Date Created: 20250514 Date Completed: 20250514 Latest Revision: 20250516
Update Code: 20250519
PubMed Central ID: PMC12077878
DOI: 10.7554/eLife.88540
PMID: 40366360
Datenbank: MEDLINE
Beschreibung
Abstract:Competing Interests: MR, SM, HP, JD, RR, MF, BA, QL, VK, JY, MM, MF, MR, MW, RJ, SN, DS No competing interests declared<br />Citation metrics influence academic reputation and career trajectories. Recent works have highlighted flaws in citation practices in the Neurosciences, such as the under-citation of women. However, self-citation rates-or how much authors cite themselves-have not yet been comprehensively investigated in the Neurosciences. This work characterizes self-citation rates in basic, translational, and clinical Neuroscience literature by collating 100,347 articles from 63 journals between the years 2000-2020. In analyzing over five million citations, we demonstrate four key findings: (1) increasing self-citation rates of Last Authors relative to First Authors, (2) lower self-citation rates in low- and middle-income countries, (3) gender differences in self-citation stemming from differences in the number of previously published papers, and (4) variations in self-citation rates by field. Our characterization of self-citation provides insight into citation practices that shape the perceived influence of authors in the Neurosciences, which in turn may impact what type of scientific research is done and who gets the opportunity to do it.<br /> (© 2023, Rosenblatt et al.)
ISSN:2050-084X
DOI:10.7554/eLife.88540