| Title |
New Autism Diagnostic Interview-Revised Algorithms for Toddlers and Young Preschoolers from 12 to 47 Months of Age
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, March 2011
|
| DOI | 10.1007/s10803-011-1213-1 |
| Pubmed ID | |
| Authors |
So Hyun Kim, Catherine Lord |
| Abstract |
Autism Diagnostic Interview-Revised (Rutter et al. in Autism diagnostic interview-revised. Western Psychological Services, Los Angeles, 2003) diagnostic algorithms specific to toddlers and young preschoolers were created using 829 assessments of children aged from 12 to 47 months with ASD, nonspectrum disorders, and typical development. The participants were divided into three more homogeneous groups by language level and age. Items that best differentiated the diagnostic groups were selected and arranged into domains based on multifactor item-response analyses. Using the new algorithms for toddlers and preschool children, we were able to improve sensitivity and specificity compared to the previously developed algorithm. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 50% |
| Spain | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 2 | 1% |
| Unknown | 131 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 15% |
| Researcher | 20 | 15% |
| Student > Master | 18 | 13% |
| Other | 11 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 30 | 22% |
| Unknown | 28 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 45 | 33% |
| Medicine and Dentistry | 23 | 17% |
| Social Sciences | 7 | 5% |
| Neuroscience | 6 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 15 | 11% |
| Unknown | 36 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 04 February 2022.
All research outputs
#4,337,045
of 23,867,274 outputs
Outputs from Journal of Autism and Developmental Disorders
#1,779
of 5,240 outputs
Outputs of similar age
#20,686
of 111,119 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#19
of 39 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 65% 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 111,119 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.