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Exploring the Relationship Between Autism Spectrum Disorder and Epilepsy Using Latent Class Cluster Analysis

Overview of attention for article published in Journal of Autism and Developmental Disorders, November 2011
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1 policy source
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1 X user

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98 Mendeley
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Article details
Title
Exploring the Relationship Between Autism Spectrum Disorder and Epilepsy Using Latent Class Cluster Analysis
Published in
Journal of Autism and Developmental Disorders, November 2011
DOI 10.1007/s10803-011-1402-y
Pubmed ID
Authors
Abstract

Epilepsy co-occurs frequently in autism spectrum disorders (ASD). Understanding this co-occurrence requires a better understanding of the ASD-epilepsy phenotype (or phenotypes). To address this, we conducted latent class cluster analysis (LCCA) on an ASD dataset (N = 577) which included 64 individuals with epilepsy. We identified a 5-cluster solution with one cluster showing a high rate of epilepsy (29%), earlier age at first recognition, and high rates of repetitive object use and unusual sensory interests. We also conducted LCCA on an ASD-epilepsy subset from the overall dataset (N = 64) which yielded three clusters, the largest of which had impairments in language and motor development; the remaining clusters, while not as developmentally impaired were characterized by different levels of repetitive and sensory behaviors.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 15 15%
Researcher 13 13%
Student > Ph. D. Student 12 12%
Student > Doctoral Student 9 9%
Student > Bachelor 6 6%
Other 18 18%
Unknown 25 26%
Readers by discipline
Readers by discipline Count As %
Psychology 19 19%
Medicine and Dentistry 17 17%
Social Sciences 10 10%
Neuroscience 9 9%
Agricultural and Biological Sciences 6 6%
Other 11 11%
Unknown 26 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 April 2022.
All research outputs
#10,351,676
of 33,779,198 outputs
Outputs from Journal of Autism and Developmental Disorders
#2,903
of 6,136 outputs
Outputs of similar age
#81,165
of 300,387 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#26
of 47 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 6,136 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has gotten more attention than average, scoring higher than 51% 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 300,387 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.