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Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers

Overview of attention for article published in Journal of Autism and Developmental Disorders, November 2012
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Title
Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers
Published in
Journal of Autism and Developmental Disorders, November 2012
DOI 10.1007/s10803-012-1696-4
Pubmed ID
Authors

So Hyun Kim, Audrey Thurm, Stacy Shumway, Catherine Lord

Abstract

Using two independent datasets provided by National Institute of Health funded consortia, the Collaborative Programs for Excellence in Autism and Studies to Advance Autism Research and Treatment (n = 641) and the National Institute of Mental Health (n = 167), diagnostic validity and factor structure of the new Autism Diagnostic Interview (ADI-R) algorithms for toddlers and young preschoolers were examined as a replication of results with the 2011 Michigan sample (Kim and Lord in J Autism Dev Disord 42(1): 82-93, 2012). Sensitivities and specificities and a three-factor solution were replicated. Results suggest that the new ADI-R algorithms can be appropriately applied to existing research databases with children from 12 to 47 months and down to nonverbal mental ages of 10 months for diagnostic grouping.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Unknown 101 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 21%
Researcher 14 13%
Student > Ph. D. Student 14 13%
Student > Doctoral Student 13 13%
Student > Bachelor 6 6%
Other 15 14%
Unknown 20 19%
Readers by discipline Count As %
Psychology 37 36%
Medicine and Dentistry 12 12%
Social Sciences 8 8%
Neuroscience 6 6%
Nursing and Health Professions 4 4%
Other 12 12%
Unknown 25 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 February 2020.
All research outputs
#16,775,710
of 25,654,806 outputs
Outputs from Journal of Autism and Developmental Disorders
#4,003
of 5,484 outputs
Outputs of similar age
#128,955
of 202,873 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#50
of 69 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
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 is in the 26th percentile – i.e., 26% 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 202,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.