| Title |
Evaluation of a Records-Review Surveillance System Used to Determine the Prevalence of Autism Spectrum Disorders
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, June 2010
|
| DOI | 10.1007/s10803-010-1050-7 |
| Pubmed ID | |
| Authors |
Rachel Nonkin Avchen, Lisa D. Wiggins, Owen Devine, Kim Van Naarden Braun, Catherine Rice, Nancy C. Hobson, Diana Schendel, Marshalyn Yeargin-Allsopp |
| Abstract |
We conducted the first study that estimates the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of a population-based autism spectrum disorders (ASD) surveillance system developed at the Centers for Disease Control and Prevention. The system employs a records-review methodology that yields ASD classification (case versus non-ASD case) and was compared with classification based on clinical examination. The study enrolled 177 children. Estimated specificity (0.96, [CI(.95) = 0.94, 0.99]), PPV (0.79 [CI(.95) = 0.66, 0.93]), and NPV (0.91 [CI(.95) = 0.87, 0.96]) were high. Sensitivity was lower (0.60 [CI(.95) = 0.45, 0.75]). Given diagnostic heterogeneity, and the broad array of ASD in the population, identifying children with ASD is challenging. Records-based surveillance yields a population-based estimate of ASD that is likely conservative. |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 71 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 14% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 6 | 8% |
| Other | 15 | 21% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 26% |
| Social Sciences | 12 | 17% |
| Medicine and Dentistry | 11 | 15% |
| Agricultural and Biological Sciences | 3 | 4% |
| Arts and Humanities | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 18 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 26 January 2016.
All research outputs
#2,539,146
of 23,867,274 outputs
Outputs from Journal of Autism and Developmental Disorders
#1,149
of 5,240 outputs
Outputs of similar age
#9,265
of 96,382 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#12
of 25 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 89th 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 done well, scoring higher than 78% of its peers.
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We're also able to compare this research output to 25 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 52% of its contemporaries.