| Title |
Prediction of Autism at 3 Years from Behavioural and Developmental Measures in High-Risk Infants: A Longitudinal Cross-Domain Classifier Analysis
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, February 2018
|
| DOI | 10.1007/s10803-018-3509-x |
| Pubmed ID | |
| Authors |
G. Bussu, E. J. H. Jones, T. Charman, M. H. Johnson, J. K. Buitelaar, the BASIS Team |
| Abstract |
We integrated multiple behavioural and developmental measures from multiple time-points using machine learning to improve early prediction of individual Autism Spectrum Disorder (ASD) outcome. We examined Mullen Scales of Early Learning, Vineland Adaptive Behavior Scales, and early ASD symptoms between 8 and 36 months in high-risk siblings (HR; n = 161) and low-risk controls (LR; n = 71). Longitudinally, LR and HR-Typical showed higher developmental level and functioning, and fewer ASD symptoms than HR-Atypical and HR-ASD. At 8 months, machine learning classified HR-ASD at chance level, and broader atypical development with 69.2% Area Under the Curve (AUC). At 14 months, ASD and broader atypical development were classified with approximately 71% AUC. Thus, prediction of ASD was only possible with moderate accuracy at 14 months. |
X Demographics
The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 15% |
| Canada | 3 | 9% |
| Mexico | 2 | 6% |
| Germany | 2 | 6% |
| Spain | 2 | 6% |
| Argentina | 1 | 3% |
| United States | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Paraguay | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 73% |
| Scientists | 8 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 191 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 18% |
| Researcher | 27 | 14% |
| Student > Master | 19 | 10% |
| Student > Bachelor | 19 | 10% |
| Student > Doctoral Student | 11 | 6% |
| Other | 30 | 16% |
| Unknown | 51 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 57 | 30% |
| Neuroscience | 14 | 7% |
| Engineering | 12 | 6% |
| Computer Science | 10 | 5% |
| Medicine and Dentistry | 9 | 5% |
| Other | 28 | 15% |
| Unknown | 61 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 22 April 2018.
All research outputs
#1,748,153
of 25,199,243 outputs
Outputs from Journal of Autism and Developmental Disorders
#714
of 5,431 outputs
Outputs of similar age
#37,946
of 343,033 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#15
of 108 outputs
Altmetric has tracked 25,199,243 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,431 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 86% 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 343,033 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 88% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.