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Young Offenders’ Emotion Recognition Dysfunction Across Emotion Intensities: Explaining Variation Using Psychopathic Traits, Conduct Disorder and Offense Severity

Overview of attention for article published in Journal of Psychopathology and Behavioral Assessment, July 2013
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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 (#30 of 736)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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29 X users
peer_reviews
1 peer review site

Citations

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76 Dimensions

Readers on

mendeley
177 Mendeley
Title
Young Offenders’ Emotion Recognition Dysfunction Across Emotion Intensities: Explaining Variation Using Psychopathic Traits, Conduct Disorder and Offense Severity
Published in
Journal of Psychopathology and Behavioral Assessment, July 2013
DOI 10.1007/s10862-013-9368-z
Pubmed ID
Authors

Katharine L. Bowen, Joanne E. Morgan, Simon C. Moore, Stephanie H. M. van Goozen

Abstract

Antisocial individuals have problems recognizing negative emotions (e.g. Marsh & Blair in Neuroscience and Biobehavioral Reviews 32:454-465, 2009); however, due to issues with sampling and different methods used, previous findings have been varied. Sixty-three male young offenders and 37 age-, IQ- and socio-economic status-matched male controls completed a facial emotion recognition task, which measures recognition of happiness, sadness, fear, anger, disgust, and surprise and neutral expressions across 4 emotional intensities. Conduct disorder (YSR), and psychopathic and callous/unemotional traits (YPI) were measured, and offenders' offense data were taken from the Youth Offending Service's case files. Relative to controls, offenders were significantly worse at identifying sadness, low intensity disgust and high intensity fear. A significant interaction for anger was also observed, with offenders showing reduced low- but increased high-intensity anger recognition in comparison with controls. Within the young offenders levels of conduct disorder and psychopathic traits explained variation in sadness and disgust recognition, whereas offense severity explained variation in anger recognition. These results suggest that antisocial youths show specific problems in recognizing negative emotions and support the use of targeted emotion recognition interventions for problematic behavior.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Australia 1 <1%
Unknown 175 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 17%
Student > Ph. D. Student 26 15%
Student > Bachelor 24 14%
Student > Doctoral Student 18 10%
Student > Postgraduate 13 7%
Other 29 16%
Unknown 37 21%
Readers by discipline Count As %
Psychology 94 53%
Medicine and Dentistry 15 8%
Social Sciences 5 3%
Neuroscience 4 2%
Computer Science 3 2%
Other 10 6%
Unknown 46 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 28 June 2018.
All research outputs
#1,768,435
of 25,390,970 outputs
Outputs from Journal of Psychopathology and Behavioral Assessment
#30
of 736 outputs
Outputs of similar age
#14,974
of 210,665 outputs
Outputs of similar age from Journal of Psychopathology and Behavioral Assessment
#3
of 22 outputs
Altmetric has tracked 25,390,970 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 736 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 96% 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 210,665 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 92% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.