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The Structure of Autism Symptoms as Measured by the Autism Diagnostic Observation Schedule

Overview of attention for article published in Journal of Autism and Developmental Disorders, August 2011
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Title
The Structure of Autism Symptoms as Measured by the Autism Diagnostic Observation Schedule
Published in
Journal of Autism and Developmental Disorders, August 2011
DOI 10.1007/s10803-011-1348-0
Pubmed ID
Authors

Megan Norris, Luc Lecavalier, Michael C. Edwards

Abstract

The current study tested several competing models of the autism phenotype using data from modules 1 and 3 of the ADOS. Participants included individuals with ASDs aged 3-18 years (N = 1,409) from the AGRE database. Confirmatory factor analyses were performed on total samples and subsamples based on age and level of functioning. Three primary models were tested, including a one-factor model, the DSM-IV model, and the anticipated DSM-V model. Results indicated all models fit similarly. Module 1 ratings yielded better indices of fit across all models and higher inter-factor correlations than Model 3. Model fits were impacted by age and level of functioning. The lack of differentiation between models suggests that the structure of ASD symptoms is complex to measure statistically.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Researcher 11 15%
Student > Doctoral Student 10 14%
Student > Bachelor 9 12%
Student > Ph. D. Student 8 11%
Other 14 19%
Unknown 10 14%
Readers by discipline Count As %
Psychology 26 35%
Agricultural and Biological Sciences 8 11%
Medicine and Dentistry 7 9%
Social Sciences 7 9%
Neuroscience 4 5%
Other 11 15%
Unknown 11 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 August 2011.
All research outputs
#16,188,009
of 23,867,274 outputs
Outputs from Journal of Autism and Developmental Disorders
#4,003
of 5,240 outputs
Outputs of similar age
#89,345
of 126,266 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#24
of 27 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,240 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 126,266 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.