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A machine learning-based diagnostic model for children with autism spectrum disorders complicated with intellectual disability

Overview of attention for article published in Frontiers in Psychiatry, September 2022
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1 X user

Citations

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6 Dimensions

Readers on

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49 Mendeley
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Title
A machine learning-based diagnostic model for children with autism spectrum disorders complicated with intellectual disability
Published in
Frontiers in Psychiatry, September 2022
DOI 10.3389/fpsyt.2022.993077
Pubmed ID
Authors

Chao Song, Zhong-Quan Jiang, Li-Fei Hu, Wen-Hao Li, Xiao-Lin Liu, Yan-Yan Wang, Wen-Yuan Jin, Zhi-Wei Zhu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 6%
Lecturer 3 6%
Student > Bachelor 3 6%
Student > Master 3 6%
Researcher 3 6%
Other 3 6%
Unknown 31 63%
Readers by discipline Count As %
Psychology 5 10%
Unspecified 3 6%
Computer Science 3 6%
Medicine and Dentistry 2 4%
Business, Management and Accounting 1 2%
Other 4 8%
Unknown 31 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 September 2022.
All research outputs
#20,777,031
of 23,381,576 outputs
Outputs from Frontiers in Psychiatry
#8,123
of 10,491 outputs
Outputs of similar age
#349,595
of 438,591 outputs
Outputs of similar age from Frontiers in Psychiatry
#492
of 757 outputs
Altmetric has tracked 23,381,576 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,491 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 438,591 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 757 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.