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Characterizing Health Disparities in the Age of Autism Diagnosis in a Study of 8-Year-Old Children

Overview of attention for article published in Journal of Autism and Developmental Disorders, February 2018
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Title
Characterizing Health Disparities in the Age of Autism Diagnosis in a Study of 8-Year-Old Children
Published in
Journal of Autism and Developmental Disorders, February 2018
DOI 10.1007/s10803-018-3500-6
Pubmed ID
Authors

Chandni Parikh, Margaret Kurzius-Spencer, Ann M. Mastergeorge, Sydney Pettygrove

Abstract

The diagnosis of autism spectrum disorder (ASD) is often delayed from the time of noted concerns to the actual diagnosis. The current study used child- and family-level factors to identify homogeneous classes in a surveillance-based sample (n = 2303) of 8-year-old children with ASD. Using latent class analysis, a 5-class model emerged and the class memberships were examined in relation to the child's median age at ASD diagnosis. Class 3, with known language delays and a high advantage socioeconomically had the lowest age of ASD diagnosis (46.74 months) in comparison to Classes 1 (64.99 months), 4 (58.14 months), and 5 (69.78 months) in this sample. Findings demonstrate sociodemographic and developmental disparities related to the age at ASD diagnosis.

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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 %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 14%
Researcher 12 13%
Student > Ph. D. Student 12 13%
Student > Bachelor 9 10%
Unspecified 7 8%
Other 18 19%
Unknown 22 24%
Readers by discipline Count As %
Psychology 21 23%
Medicine and Dentistry 10 11%
Nursing and Health Professions 10 11%
Social Sciences 8 9%
Unspecified 7 8%
Other 9 10%
Unknown 28 30%
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 16 February 2018.
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
#298,854
of 480,507 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#90
of 108 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 480,507 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.