Evidence map›Paper›PMID 41523965›Full record

ArticleAlpha psychiatry2025

Highly Cited Articles in Evolutionary Psychiatry: Assessment With a Quality and Error Rating Scale.

Chad Beyer, Chanel Robinson, Dan J Stein

Abstract read
In one paragraph

Article in Alpha psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Chad BeyerDepartment of Psychiatry, University of Cape Town, 7701 Cape Town, South Africa.ORCID https://orcid.org/0009-0000-8423-8363
Chanel RobinsonWestern Cape Department of Health, 7701 Cape Town, South Africa.
Dan J SteinSAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, 7701 Cape Town, South Africa.ORCID https://orcid.org/0000-0001-7218-7810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Evolutionary psychiatry is a growing field that emphasizes the value of evolutionary explanations for traits that make individuals vulnerable to mental disorders. Some articles that apply evolutionary theory in psychiatry make errors, such as viewing a disease as an adaptation. We assessed article quality and error quantity in the most cited articles on evolutionary psychiatry and examined the relationship of these measures to citation number. Methods: PubMed, Web of Science, and Google Scholar were searched in 2023 and again in 2025 using specific terms related to "evolution" and "psychiatry", to find the most highly cited articles in the field. Based on the work of Nesse, we developed a measure for assessing overall article quality and error quantity in evolutionary psychiatry articles. We applied the measure to the 20 most highly cited articles, and calculated the correlations of article quality and error quantity with number of citations. Results: Twenty highly cited articles, with a mean citation count of 413.30 and publication year from 1964 to 2011, were rated. While the most highly cited articles had good quality on average, they also made important errors. There was no significant correlation of article quality or error quantity with citation count. Conclusion: Highly cited articles in evolutionary psychiatry demonstrated strengths but also weaknesses. The lack of a relationship of article quality and error quantity to citation rates suggests that other factors influence such citations. Future research should focus on achieving consensus on how best to assess the quality of evolutionary psychiatry articles and what errors should be avoided.

Indexed as

article qualitycitation analysiscommon errorsevolutionary psychiatryrating scalesystematic review

Identifiers

PMID41523965
PMCPMC12781228

What OpenQuestion holds

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LicenceCC BY
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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.