| Title |
Applications of Supervised Machine Learning in Autism Spectrum Disorder Research: a Review
|
|---|---|
| Published in |
Review Journal of Autism and Developmental Disorders, February 2019
|
| DOI | 10.1007/s40489-019-00158-x |
| Authors |
Kayleigh K. Hyde, Marlena N. Novack, Nicholas LaHaye, Chelsea Parlett-Pelleriti, Raymond Anden, Dennis R. Dixon, Erik Linstead |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 9% |
| Italy | 1 | 9% |
| Spain | 1 | 9% |
| United States | 1 | 9% |
| Canada | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 272 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 38 | 14% |
| Student > Ph. D. Student | 31 | 11% |
| Researcher | 28 | 10% |
| Student > Bachelor | 26 | 10% |
| Lecturer | 10 | 4% |
| Other | 39 | 14% |
| Unknown | 100 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 75 | 28% |
| Engineering | 28 | 10% |
| Psychology | 20 | 7% |
| Neuroscience | 9 | 3% |
| Social Sciences | 4 | 1% |
| Other | 26 | 10% |
| Unknown | 110 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 12 April 2022.
All research outputs
#1,973,471
of 23,577,761 outputs
Outputs from Review Journal of Autism and Developmental Disorders
#33
of 232 outputs
Outputs of similar age
#46,842
of 354,058 outputs
Outputs of similar age from Review Journal of Autism and Developmental Disorders
#1
of 6 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 232 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 354,058 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 86% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them