Evidence map›Paper›PMID 37071241›Full record

ArticleAnimal cognition2023

Gender differences in animal cognition science.

Ioanna Gavriilidi, Raoul Van Damme

Abstract read
PubMed Publisher
In one paragraph

Article in Animal cognition, 2023. 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. Gender dynamics in Animal Science: progress, pitfalls, and pathways forward.Animal frontiers : the review magazine of animal agriculture · 2025
    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.

Ioanna GavriilidiFunctional Morphology Lab, Biology Department, University of Antwerp, Antwerp, Belgium. ioanna.gavriilidi@uantwerp.be.ORCID http://orcid.org/0000-0003-1035-1931
Raoul Van DammeFunctional Morphology Lab, Biology Department, University of Antwerp, Antwerp, Belgium.ORCID http://orcid.org/0000-0002-4585-6940

Funding

Fonds Wetenschappelijk Onderzoek 1105122N
6 · The paper itself

Abstract

Women's representation in science is increasing steadily, with some fields closing gender parity in terms of participation and scientific output. Animal cognition appears to fall into that category. Our current analysis of gender author balance (women versus men) in 600 animal cognition papers supported parity in many aspects, but also revealed some remaining disparities. Women animal cognition scientists often held first authorship positions (58% of the studies), received similar numbers of citations, and published in equally high impact factor journals as men. Women were still under represented in last-author position, which often reflects seniority status (37% of last authors were women). There were interesting results when we considered the gender of teams (of two or more authors): all-women author teams were the minority in our dataset and received on average fewer citations than all men or mixed author teams, regardless of the quality of the journal (as measured by the journal's impact factor). Women more often focussed on mammals, whereas men more often focussed on fish, both as first authors and as same-gender teams. Men, as first author or in men-only teams, restricted their research more often to organisms of a single sex, compared to women, as first author and as members of a team. Our study suggests that there are many indices of the significant contribution of both women and men scientists in animal cognition, although some gender biases may remain.

Indexed as

AuthorshipPublishingAnimalsFemaleMaleMammalsSex FactorsAnimal cognitionAuthor genderCitation biasGender biasTeam gender balance

Identifiers

What OpenQuestion holds

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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.