Evidence map›Paper›PMID 40366360›Full record

ArticleeLife2025

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

Matthew Rosenblatt, Saloni Mehta, Hannah Peterson, Javid Dadashkarimi, Raimundo Rodriguez, Maya L Foster, Brendan D Adkinson, Qinghao Liang, Violet M Kimble, Jean Ye and 7 more

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Matthew RosenblattDepartment of Biomedical Engineering, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0002-3894-6198
Saloni MehtaDepartment of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States.ORCID https://orcid.org/0000-0003-1775-4776
Hannah PetersonDepartment of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States.
Javid DadashkarimiDepartment of Computer Science, Yale University, New Haven, United States.
Raimundo RodriguezInterdepartmental Neuroscience Program, Yale University, New Haven, United States.
Maya L FosterDepartment of Biomedical Engineering, Yale University, New Haven, United States.
Brendan D AdkinsonInterdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0003-3196-8674
Qinghao LiangDepartment of Biomedical Engineering, Yale University, New Haven, United States.
Violet M KimbleInterdepartmental Neuroscience Program, Yale University, New Haven, United States.
Jean YeInterdepartmental Neuroscience Program, Yale University, New Haven, United States.
Marie C McCuskerInterdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0003-1067-3375
Michael C FarruggiaInterdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0002-5306-6754
Max J RolisonChild Study Center, Yale School of Medicine, New Haven, United States.ORCID https://orcid.org/0000-0001-9534-3767
Margaret L WestwaterDepartment of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States.
Rongtao JiangDepartment of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States.
Stephanie NobleDepartment of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States.
Dustin ScheinostDepartment of Biomedical Engineering, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0002-6301-1167

Funding

Interdepartmental Neuroscience Program (INP)T32NS041228 · NINDS · YALE UNIVERSITY · PI Charles A Greer, Marina R Picciotto · 2001 to 2026
$12.0M
NINDS NIH HHS T32 NS041228
6 · The paper itself

Abstract

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.

Indexed as

BibliometricsJournal Impact FactorNeurologyNeurosciencesPeriodicals as TopicPsychiatryPublishingFemaleHumansMalebibliometricsneurologyneurosciencenonepsychiatryself-citation

Identifiers

PMID40366360
PMCPMC12077878

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.