Evidence map›Paper›PMID 40067865›Full record

ArticleMolecular biology and evolution2025

Do Manuscripts by Female Evolutionary Biologists Spend Longer Under Review?

David Alvarez-Ponce, James Vesper

Abstract read
In one paragraph

Article in Molecular biology and evolution, 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

2 authors.

David Alvarez-PonceBiology Department, University of Nevada, Reno, NV, USA.ORCID 0000-0002-8729-1036
James VesperBiology Department, University of Nevada, Reno, NV, USA.ORCID 0009-0006-6392-4288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women are under-represented in academia and in STEM careers, especially at senior positions and top institutions. This may be, at least in part, due to the many obstacles that they experience along the academic pipeline. There has been substantial debate as to whether women are treated unfairly during the peer review process. An analysis of over 9,000 research articles published in top Economics journals has recently shown that female-authored articles tend to spend 3 to 6 months longer under review (period from submission to acceptance), and to have more readable abstracts, than male-authored articles, suggesting that female-authored articles are held to higher standards. We set out to determine whether these trends were also present among 49,031 papers published in 11 Evolutionary Biology journals. We found that female representation among article authors substantially increased over the decades. The percentage of women is lower among corresponding authors than among all authors, especially of recent articles. In addition, female first authors were less likely to be corresponding authors than male first authors, and the gender of the first author correlated with the gender of the corresponding author. In some of the journals, female-authored articles spent significantly longer under review; however, most of the observed differences vanish after controlling for the date of publication and the number of authors. In addition, female-authored abstracts are not more readable. Our results suggest that the peer review process in the field of Evolutionary Biology is generally not biased against women.

Indexed as

Biological EvolutionPeer Review, ResearchAuthorshipFemaleHumansMalePublishingdiscrimination against womenevolutionary biologygender inequalitypeer reviewresearch productivitywomen in science

Identifiers

PMID40067865
PMCPMC11932090

What OpenQuestion holds

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Registered trials

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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.