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Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups

Overview of attention for article published in Journal of Autism and Developmental Disorders, October 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
7 news outlets
blogs
4 blogs
twitter
15 X users
googleplus
21 Google+ users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
93 Mendeley
citeulike
1 CiteULike
Title
Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups
Published in
Journal of Autism and Developmental Disorders, October 2014
DOI 10.1007/s10803-014-2290-8
Pubmed ID
Authors

Tayo Obafemi-Ajayi, Judith H. Miles, T. Nicole Takahashi, Wenchuan Qi, Kristina Aldridge, Minqi Zhang, Shi-Qing Xin, Ying He, Ye Duan

Abstract

Varied cluster analysis were applied to facial surface measurements from 62 prepubertal boys with essential autism to determine whether facial morphology constitutes viable biomarker for delineation of discrete Autism Spectrum Disorders (ASD) subgroups. Earlier study indicated utility of facial morphology for autism subgrouping (Aldridge et al. in Mol Autism 2(1):15, 2011). Geodesic distances between standardized facial landmarks were measured from three-dimensional stereo-photogrammetric images. Subjects were evaluated for autism-related symptoms, neurologic, cognitive, familial, and phenotypic variants. The most compact cluster is clinically characterized by severe ASD, significant cognitive impairment and language regression. This verifies utility of facially-based ASD subtypes and validates Aldridge et al.'s severe ASD subgroup, notwithstanding different techniques. It suggests that language regression may define a unique ASD subgroup with potential etiologic differences.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 1%
Unknown 92 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Student > Ph. D. Student 14 15%
Researcher 9 10%
Student > Bachelor 8 9%
Student > Doctoral Student 4 4%
Other 14 15%
Unknown 28 30%
Readers by discipline Count As %
Medicine and Dentistry 15 16%
Psychology 15 16%
Computer Science 6 6%
Social Sciences 5 5%
Neuroscience 5 5%
Other 18 19%
Unknown 29 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 104. 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 26 March 2019.
All research outputs
#413,514
of 25,732,188 outputs
Outputs from Journal of Autism and Developmental Disorders
#111
of 5,439 outputs
Outputs of similar age
#4,237
of 275,253 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#2
of 82 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,439 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 97% 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 275,253 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 98% of its contemporaries.
We're also able to compare this research output to 82 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 97% of its contemporaries.