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Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning

Overview of attention for article published in Frontiers in Neuroscience, September 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
1 X user

Readers on

mendeley
18 Mendeley
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Title
Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning
Published in
Frontiers in Neuroscience, September 2023
DOI 10.3389/fnins.2023.1170951
Pubmed ID
Authors

Fanchao Meng, Fenghua Li, Shuxian Wu, Tingyu Yang, Zhou Xiao, Yujian Zhang, Zhengkui Liu, Jianping Lu, Xuerong Luo

Timeline

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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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Student > Bachelor 2 11%
Unspecified 1 6%
Student > Master 1 6%
Unknown 9 50%
Readers by discipline Count As %
Psychology 2 11%
Engineering 2 11%
Computer Science 2 11%
Unspecified 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 9 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 27 September 2023.
All research outputs
#2,321,481
of 25,394,764 outputs
Outputs from Frontiers in Neuroscience
#1,387
of 11,544 outputs
Outputs of similar age
#38,103
of 350,332 outputs
Outputs of similar age from Frontiers in Neuroscience
#13
of 302 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 87% 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 350,332 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 89% of its contemporaries.
We're also able to compare this research output to 302 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.