Evidence map›Paper›PMID 30256792›Full record

ArticlePloS one2018

Self-citation is the hallmark of productive authors, of any gender.

Shubhanshu Mishra, Brent D Fegley, Jana Diesner, Vetle I Torvik

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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  5. Article
  6. Article
  7. Review
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  12. Review
  13. Article
  14. Article
  15. Predicting substantive biomedical citations without full text.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
  17. Article
  18. Self-referencing rates in biological disciplines.Frontiers in research metrics and analytics · 2023
    Article
  19. Article
  20. 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

4 authors.

Shubhanshu MishraSchool of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL 61820, United States of America.
Brent D FegleySchool of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL 61820, United States of America.
Jana DiesnerSchool of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL 61820, United States of America.
Vetle I TorvikSchool of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL 61820, United States of America.ORCID 0000-0002-0035-1850

Funding

LIFE CYCLE EVENTS, PRODUCTIVITY, AND SCIENTIFIC IMPACTP01AG039347 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI WEINBERG, BRUCE A · 2013 to 2018
$5.4M
NIA NIH HHS P01 AG039347
6 · The paper itself

Abstract

It was recently reported that men self-cite >50% more often than women across a wide variety of disciplines in the bibliographic database JSTOR. Here, we replicate this finding in a sample of 1.6 million papers from Author-ity, a version of PubMed with computationally disambiguated author names. More importantly, we show that the gender effect largely disappears when accounting for prior publication count in a multidimensional statistical model. Gender has the weakest effect on the probability of self-citation among an extensive set of features tested, including byline position, affiliation, ethnicity, collaboration size, time lag, subject-matter novelty, reference/citation counts, publication type, language, and venue. We find that self-citation is the hallmark of productive authors, of any gender, who cite their novel journal publications early and in similar venues, and more often cross citation-barriers such as language and indexing. As a result, papers by authors with short, disrupted, or diverse careers miss out on the initial boost in visibility gained from self-citations. Our data further suggest that this disproportionately affects women because of attrition and not because of disciplinary under-specialization.

Indexed as

Models, TheoreticalPubMedFemaleHumansMalePeriodicals as Topic

Identifiers

PMID30256792
PMCPMC6157831

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.