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The Cambridge Mindreading Face-Voice Battery for Children (CAM-C): complex emotion recognition in children with and without autism spectrum conditions

Overview of attention for article published in Molecular Autism, April 2015
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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 (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
The Cambridge Mindreading Face-Voice Battery for Children (CAM-C): complex emotion recognition in children with and without autism spectrum conditions
Published in
Molecular Autism, April 2015
DOI 10.1186/s13229-015-0018-z
Pubmed ID
Authors

Ofer Golan, Yana Sinai-Gavrilov, Simon Baron-Cohen

Abstract

Difficulties in recognizing emotions and mental states are central characteristics of autism spectrum conditions (ASC). However, emotion recognition (ER) studies have focused mostly on recognition of the six 'basic' emotions, usually using still pictures of faces. This study describes a new battery of tasks for testing recognition of nine complex emotions and mental states from video clips of faces and from voice recordings taken from the Mindreading DVD. This battery (the Cambridge Mindreading Face-Voice Battery for Children or CAM-C) was given to 30 high-functioning children with ASC, aged 8 to 11, and to 25 matched controls. The ASC group scored significantly lower than controls on complex ER from faces and voices. In particular, participants with ASC had difficulty with six out of nine complex emotions. Age was positively correlated with all task scores, and verbal IQ was correlated with scores in the voice task. CAM-C scores were negatively correlated with parent-reported level of autism spectrum symptoms. Children with ASC show deficits in recognition of complex emotions and mental states from both facial and vocal expressions. The CAM-C may be a useful test for endophenotypic studies of ASC and is one of the first to use dynamic stimuli as an assay to reveal the ER profile in ASC. It complements the adult version of the CAM Face-Voice Battery, thus providing opportunities for developmental assessment of social cognition in autism.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Unknown 214 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 16%
Student > Ph. D. Student 32 15%
Student > Bachelor 23 11%
Student > Doctoral Student 22 10%
Researcher 21 10%
Other 38 18%
Unknown 46 21%
Readers by discipline Count As %
Psychology 92 43%
Computer Science 15 7%
Social Sciences 10 5%
Neuroscience 7 3%
Medicine and Dentistry 7 3%
Other 25 12%
Unknown 60 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 March 2016.
All research outputs
#3,005,005
of 25,654,806 outputs
Outputs from Molecular Autism
#264
of 722 outputs
Outputs of similar age
#36,686
of 280,551 outputs
Outputs of similar age from Molecular Autism
#11
of 21 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one has gotten more attention than average, scoring higher than 63% 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 280,551 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.