Evidence map›Paper›PMID 41089295›Full record

ArticlePersonality neuroscience2025

Variability and stability of autistic traits in the general population: A systematic comparison between online and in-lab samples.

Qianying Wu, Qianhui Hong, Na Yeon Kim, Ralph Adolphs, Lynn K Paul, Caroline J Charpentier

Abstract read
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In one paragraph

Article in Personality neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Qianying WuDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.ORCID https://orcid.org/0000-0002-2665-2205
Qianhui HongDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Na Yeon KimDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Ralph AdolphsDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.ORCID https://orcid.org/0000-0002-8053-9692
Lynn K PaulDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Caroline J CharpentierDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.ORCID https://orcid.org/0000-0002-7283-0738

Funding

Neuro-computational mechanisms of social learning and variation along psychiatric symptom dimensions and in autismR00MH123669 · NIMH · UNIV OF MARYLAND, COLLEGE PARK · PI Caroline Juliette Charpentier · 2024 to 2026
$747k
NIMH NIH HHS R00 MH123669
6 · The paper itself

Abstract

The surge of online psychological assessments have brought the autism research community both opportunities and challenges: while they enable rapid large-scale data collection and more power to characterize individual differences, they also bring concerns about data quality, generalizability beyond online samples, and whether autistic traits can be reliably characterized with self-report measures administered online. Here we tackle these concerns by providing a systematic characterization of the autistic traits variability across individuals in a large cross-sectional dataset (

Indexed as

autismindividual differencesonline studytest-retest reliability

Identifiers

PMID41089295
PMCPMC12516608

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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.