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Perceptual Compensation Is Correlated with Individuals' “Autistic” Traits: Implications for Models of Sound Change

Overview of attention for article published in PLOS ONE, August 2010
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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26 X users
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Title
Perceptual Compensation Is Correlated with Individuals' “Autistic” Traits: Implications for Models of Sound Change
Published in
PLOS ONE, August 2010
DOI 10.1371/journal.pone.0011950
Pubmed ID
Authors

Alan C. L. Yu

Abstract

Variation is a ubiquitous feature of speech. Listeners must take into account context-induced variation to recover the interlocutor's intended message. When listeners fail to normalize for context-induced variation properly, deviant percepts become seeds for new perceptual and production norms. In question is how deviant percepts accumulate in a systematic fashion to give rise to sound change (i.e., new pronunciation norms) within a given speech community. The present study investigated subjects' classification of /s/ and // before /a/ or /u/ spoken by a male or a female voice. Building on modern cognitive theories of autism-spectrum condition, which see variation in autism-spectrum condition in terms of individual differences in cognitive processing style, we established a significant correlation between individuals' normalization for phonetic context (i.e., whether the following vowel is /a/ or /u/) and talker voice variation (i.e., whether the talker is male or female) in speech and their "autistic" traits, as measured by the Autism Spectrum Quotient (AQ). In particular, our mixed-effect logistic regression models show that women with low AQ (i.e., the least "autistic") do not normalize for phonetic coarticulation as much as men and high AQ women. This study provides first direct evidence that variability in human's ability to compensate for context-induced variations in speech perceptually is governed by the individual's sex and cognitive processing style. These findings lend support to the hypothesis that the systematic infusion of new linguistic variants (i.e., the deviant percepts) originate from a sub-segment of the speech community that consistently under-compensates for contextual variation in speech.

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X Demographics

The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 7%
Germany 1 <1%
Korea, Republic of 1 <1%
Malaysia 1 <1%
Belgium 1 <1%
United Kingdom 1 <1%
Unknown 138 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 27%
Researcher 18 12%
Student > Master 17 11%
Student > Doctoral Student 11 7%
Professor 11 7%
Other 26 17%
Unknown 29 19%
Readers by discipline Count As %
Linguistics 59 39%
Psychology 38 25%
Social Sciences 7 5%
Medicine and Dentistry 4 3%
Agricultural and Biological Sciences 3 2%
Other 11 7%
Unknown 31 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 December 2023.
All research outputs
#1,947,390
of 25,775,807 outputs
Outputs from PLOS ONE
#23,613
of 224,664 outputs
Outputs of similar age
#6,736
of 105,223 outputs
Outputs of similar age from PLOS ONE
#111
of 833 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 105,223 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 833 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.