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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 3,331)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
48 news outlets
blogs
2 blogs
twitter
5 X users
podcasts
1 podcast

Readers on

mendeley
15 Mendeley
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Article details
Title
Medicaid claims from 2008 to 2016 indicate low rates of genetic testing among children with intellectual disability and autism spectrum disorder
Published in
Genetics in Medicine, June 2025
DOI 10.1016/j.gim.2025.101451
Pubmed ID
Authors
Abstract

Little is known nationally about the clinical implementation of existing genetic testing medical guidelines for children with autism spectrum disorder (ASD) and/or intellectual disability (ID) among those enrolled in Medicaid or Children's Health Insurance Program plans. Children with diagnosis codes for ASD-only, ID-only, and ASD + ID were identified using established algorithms with 2008 to 2016 Medicaid claims data. The outcome measure is the cumulative proportion of individuals with genetic testing procedure codes. The cohort consisted of 241,060 children aged 7 to 17 years. The frequency of genetic testing was low across diagnoses, with ASD + ID showing the highest frequency of 25.94%. The ASD + ID cohort had the highest odds of genetic testing (aOR = 29.43 [95% CI 27.57-31.41]) compared with a random sample of children without ASD or ID. Cytogenetics and Fragile X testing were the predominant testing types used up to 2013, followed by increasing use of chromosomal microarray analysis and gene panels in 2014 to 2016. The results suggest that the clinical implementation of genetic testing in children with neurodevelopmental disabilities in the Medicaid-enrolled population was low in frequency compared with the eligible population with neurodevelopmental disorders. Further research could identify facilitators and barriers to the clinical use of genetic testing in this population.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 15 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 %
Unknown 15 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Unspecified 4 27%
Lecturer 2 13%
Lecturer > Senior Lecturer 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 5 33%
Readers by discipline
Readers by discipline Count As %
Unspecified 4 27%
Chemistry 2 13%
Medicine and Dentistry 2 13%
Business, Management and Accounting 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 273. 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 10 July 2025.
All research outputs
#162,029
of 33,148,248 outputs
Outputs from Genetics in Medicine
#26
of 3,331 outputs
Outputs of similar age
#1,915
of 351,751 outputs
Outputs of similar age from Genetics in Medicine
#1
of 30 outputs
Altmetric has tracked 33,148,248 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,331 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.3. This one has done particularly well, scoring higher than 99% 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 351,751 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 99% of its contemporaries.
We're also able to compare this research output to 30 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 96% of its contemporaries.