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Applications of Supervised Machine Learning in Autism Spectrum Disorder Research: a Review

Overview of attention for article published in Review Journal of Autism and Developmental Disorders, February 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 114)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

news
1 news outlet
twitter
9 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
43 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Researcher 9 21%
Student > Bachelor 7 16%
Student > Master 5 12%
Professor 2 5%
Other 3 7%
Unknown 7 16%
Readers by discipline Count As %
Computer Science 13 30%
Engineering 6 14%
Neuroscience 4 9%
Psychology 3 7%
Medicine and Dentistry 2 5%
Other 7 16%
Unknown 8 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 07 August 2019.
All research outputs
#1,174,987
of 13,927,053 outputs
Outputs from Review Journal of Autism and Developmental Disorders
#21
of 114 outputs
Outputs of similar age
#38,130
of 261,391 outputs
Outputs of similar age from Review Journal of Autism and Developmental Disorders
#3
of 4 outputs
Altmetric has tracked 13,927,053 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 114 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 81% 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 261,391 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 85% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.