Evidence map›Paper›PMID 28247018›Full record

ArticleJournal of autism and developmental disorders2019

Autistic Traits are Linked to Individual Differences in Familiar Voice Identification.

Verena G Skuk, Romina Palermo, Laura Broemer, Stefan R Schweinberger

Abstract read
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In one paragraph

Article in Journal of autism and developmental disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Verena G SkukDepartment for General Psychology and Cognitive Neuroscience, Institute of Psychology, Friedrich Schiller University of Jena, Am Steiger 3/1, 07743, Jena, Germany. verena.g.skuk@gmail.de.
Romina PalermoAustralian Research Council Centre of Excellence in Cognition and its Disorders, and School of Psychology, The University of Western Australia, Perth, Australia.
Laura BroemerDepartment for General Psychology and Cognitive Neuroscience, Institute of Psychology, Friedrich Schiller University of Jena, Am Steiger 3/1, 07743, Jena, Germany.
Stefan R SchweinbergerDepartment for General Psychology and Cognitive Neuroscience, Institute of Psychology, Friedrich Schiller University of Jena, Am Steiger 3/1, 07743, Jena, Germany.
Friedrich Schiller University Jena · DEAustralian Research Council · AU

Funding

Australian Research Council CE110001021Deutsche Forschungsgemeinschaft Schw 511/10-1Discovery Project DP110100850
6 · The paper itself

Abstract

Autistic traits vary across the general population, and are linked with face recognition ability. Here we investigated potential links between autistic traits and voice recognition ability for personally familiar voices in a group of 30 listeners (15 female, 16-19 years) from the same local school. Autistic traits (particularly those related to communication and social interaction) were negatively correlated with voice recognition, such that more autistic traits were associated with fewer familiar voices identified and less ability to discriminate familiar from unfamiliar voices. In addition, our results suggest enhanced accessibility of personal semantic information in women compared to men. Overall, this study establishes a detailed pattern of relationships between voice identification performance and autistic traits in the general population.

Indexed as

Auditory PerceptionIndividualityRecognition, PsychologyAdultAutistic DisorderCommunicationDiscrimination, PsychologicalFemaleHumansMaleVoiceAutistic traitsGender differencesIndividual differencesOwn-gender-bias.RecognitionVoice

Identifiers

PMID28247018
OpenAlexW2592798485

What OpenQuestion holds

Textmetadata
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.