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Neuropsychology of male ASD adults

Overview of attention for article published in Autism Research, June 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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261 Mendeley
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Title
Neuropsychology of male ASD adults
Published in
Autism Research, June 2014
DOI 10.1002/aur.1394
Pubmed ID
Authors

C. Ellie Wilson, Francesca Happé, Sally J. Wheelwright, Christine Ecker, Michael V. Lombardo, Patrick Johnston, Eileen Daly, Clodagh M. Murphy, Debbie Spain, Meng‐Chuan Lai, Bhismadev Chakrabarti, Disa A. Sauter, MRC AIMS Consortium, Simon Baron‐Cohen, Declan G. M. Murphy

Abstract

Autism Spectrum Disorder (ASD) is diagnosed on the basis of behavioral symptoms, but cognitive abilities may also be useful in characterizing individuals with ASD. One hundred seventy-eight high-functioning male adults, half with ASD and half without, completed tasks assessing IQ, a broad range of cognitive skills, and autistic and comorbid symptomatology. The aims of the study were, first, to determine whether significant differences existed between cases and controls on cognitive tasks, and whether cognitive profiles, derived using a multivariate classification method with data from multiple cognitive tasks, could distinguish between the two groups. Second, to establish whether cognitive skill level was correlated with degree of autistic symptom severity, and third, whether cognitive skill level was correlated with degree of comorbid psychopathology. Fourth, cognitive characteristics of individuals with Asperger Syndrome (AS) and high-functioning autism (HFA) were compared. After controlling for IQ, ASD and control groups scored significantly differently on tasks of social cognition, motor performance, and executive function (P's < 0.05). To investigate cognitive profiles, 12 variables were entered into a support vector machine (SVM), which achieved good classification accuracy (81%) at a level significantly better than chance (P < 0.0001). After correcting for multiple correlations, there were no significant associations between cognitive performance and severity of either autistic or comorbid symptomatology. There were no significant differences between AS and HFA groups on the cognitive tasks. Cognitive classification models could be a useful aid to the diagnostic process when used in conjunction with other data sources-including clinical history.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Spain 2 <1%
Colombia 1 <1%
United Kingdom 1 <1%
France 1 <1%
Brazil 1 <1%
Canada 1 <1%
Unknown 252 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 16%
Student > Ph. D. Student 40 15%
Researcher 34 13%
Student > Bachelor 30 11%
Student > Doctoral Student 18 7%
Other 53 20%
Unknown 45 17%
Readers by discipline Count As %
Psychology 125 48%
Medicine and Dentistry 25 10%
Neuroscience 19 7%
Social Sciences 11 4%
Agricultural and Biological Sciences 9 3%
Other 21 8%
Unknown 51 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 17 October 2014.
All research outputs
#2,797,585
of 25,782,917 outputs
Outputs from Autism Research
#545
of 1,816 outputs
Outputs of similar age
#26,879
of 242,970 outputs
Outputs of similar age from Autism Research
#6
of 17 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,816 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has gotten more attention than average, scoring higher than 69% 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 242,970 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 88% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.