↓ Skip to main content

How Does Relaxing the Algorithm for Autism Affect DSM-V Prevalence Rates?

Overview of attention for article published in Journal of Autism and Developmental Disorders, June 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
11 X users
facebook
1 Facebook page

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
133 Mendeley
Title
How Does Relaxing the Algorithm for Autism Affect DSM-V Prevalence Rates?
Published in
Journal of Autism and Developmental Disorders, June 2012
DOI 10.1007/s10803-012-1582-0
Pubmed ID
Authors

Johnny L. Matson, Megan A. Hattier, Lindsey W. Williams

Abstract

Although it is still unclear what causes autism spectrum disorders (ASDs), over time researchers and clinicians have become more precise with detecting and diagnosing ASD. Many diagnoses, however, are based on the criteria established within the Diagnostic and Statistical Manual of Mental Disorders (DSM); thus, any change in these diagnostic criteria can have a great effect upon children with ASD and their families. It is predicted that the prevalence of ASD diagnoses will dramatically decrease with the adoption of the proposed DSM-5 criteria in 2013. The aim of this current study was to inspect the changes in prevalence first using a diagnostic criteria set which was modified slightly from the DSM-5 criteria (Modified-1 criteria) and again using a set of criteria which was relaxed even a bit more (Modified-2 criteria). Modified-1 resulted in 33.77 % fewer toddlers being diagnosed with ASD compared to the DSM-IV, while Modified-2 resulted in only a 17.98 % decrease in ASD diagnoses. Children diagnosed with the DSM-5 criteria exhibited the greatest levels of autism symptomatology, but the Mod-1, Mod-2, and DSM-IV groups still demonstrated significant impairments. Implications of these findings are discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 2 2%
Mexico 1 <1%
Unknown 127 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 19%
Student > Bachelor 20 15%
Researcher 19 14%
Student > Ph. D. Student 19 14%
Student > Postgraduate 10 8%
Other 22 17%
Unknown 18 14%
Readers by discipline Count As %
Psychology 61 46%
Medicine and Dentistry 16 12%
Social Sciences 11 8%
Agricultural and Biological Sciences 5 4%
Nursing and Health Professions 4 3%
Other 15 11%
Unknown 21 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 08 January 2024.
All research outputs
#1,889,531
of 25,654,806 outputs
Outputs from Journal of Autism and Developmental Disorders
#779
of 5,484 outputs
Outputs of similar age
#11,015
of 177,987 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#7
of 62 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done well, scoring higher than 85% 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 177,987 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 93% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.