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Facial Emotion Recognition in Autism Spectrum Disorders: A Review of Behavioral and Neuroimaging Studies

Overview of attention for article published in Neuropsychology Review, September 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 504)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
792 Dimensions

Readers on

mendeley
1121 Mendeley
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Title
Facial Emotion Recognition in Autism Spectrum Disorders: A Review of Behavioral and Neuroimaging Studies
Published in
Neuropsychology Review, September 2010
DOI 10.1007/s11065-010-9138-6
Pubmed ID
Authors

Madeline B. Harms, Alex Martin, Gregory L. Wallace

Abstract

Behavioral studies of facial emotion recognition (FER) in autism spectrum disorders (ASD) have yielded mixed results. Here we address demographic and experiment-related factors that may account for these inconsistent findings. We also discuss the possibility that compensatory mechanisms might enable some individuals with ASD to perform well on certain types of FER tasks in spite of atypical processing of the stimuli, and difficulties with real-life emotion recognition. Evidence for such mechanisms comes in part from eye-tracking, electrophysiological, and brain imaging studies, which often show abnormal eye gaze patterns, delayed event-related-potential components in response to face stimuli, and anomalous activity in emotion-processing circuitry in ASD, in spite of intact behavioral performance during FER tasks. We suggest that future studies of FER in ASD: 1) incorporate longitudinal (or cross-sectional) designs to examine the developmental trajectory of (or age-related changes in) FER in ASD and 2) employ behavioral and brain imaging paradigms that can identify and characterize compensatory mechanisms or atypical processing styles in these individuals.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 1,121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 <1%
United Kingdom 9 <1%
Germany 5 <1%
Netherlands 3 <1%
Australia 3 <1%
Italy 2 <1%
Belgium 2 <1%
Canada 2 <1%
Cuba 1 <1%
Other 10 <1%
Unknown 1073 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 223 20%
Student > Master 178 16%
Student > Bachelor 147 13%
Researcher 111 10%
Student > Doctoral Student 92 8%
Other 187 17%
Unknown 183 16%
Readers by discipline Count As %
Psychology 550 49%
Neuroscience 88 8%
Medicine and Dentistry 62 6%
Agricultural and Biological Sciences 47 4%
Computer Science 33 3%
Other 112 10%
Unknown 229 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 25 November 2019.
All research outputs
#1,456,893
of 26,017,215 outputs
Outputs from Neuropsychology Review
#47
of 504 outputs
Outputs of similar age
#4,699
of 108,606 outputs
Outputs of similar age from Neuropsychology Review
#2
of 6 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 90% 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 108,606 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 94% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.