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Early detection of autism spectrum disorder in young children with machine learning using medical claims data

Overview of attention for article published in BMJ Health & Care Informatics, September 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 515)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
8 news outlets
blogs
2 blogs
twitter
22 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Early detection of autism spectrum disorder in young children with machine learning using medical claims data
Published in
BMJ Health & Care Informatics, September 2022
DOI 10.1136/bmjhci-2022-100544
Authors

Yu-Hsin Chen, Qiushi Chen, Lan Kong, Guodong Liu

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 10%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Unspecified 2 5%
Student > Ph. D. Student 2 5%
Other 4 10%
Unknown 21 53%
Readers by discipline Count As %
Computer Science 5 13%
Engineering 3 8%
Medicine and Dentistry 3 8%
Unspecified 2 5%
Psychology 2 5%
Other 4 10%
Unknown 21 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 20 January 2023.
All research outputs
#585,295
of 26,526,993 outputs
Outputs from BMJ Health & Care Informatics
#9
of 515 outputs
Outputs of similar age
#14,301
of 440,537 outputs
Outputs of similar age from BMJ Health & Care Informatics
#1
of 10 outputs
Altmetric has tracked 26,526,993 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 515 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 98% 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 440,537 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 10 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