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Contrastive machine learning reveals in EEG resting-state network salient features specific to autism spectrum disorder

Overview of attention for article published in Chaos, Solitons & Fractals, August 2024
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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 (#47 of 1,642)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Contrastive machine learning reveals in EEG resting-state network salient features specific to autism spectrum disorder
Published in
Chaos, Solitons & Fractals, August 2024
DOI 10.1016/j.chaos.2024.115123
Authors

Muhammad Salman Kabir, Semen Kurkin, Galina Portnova, Olga Martynova, Zhen Wang, Alexander Hramov

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Professor 1 11%
Student > Ph. D. Student 1 11%
Student > Master 1 11%
Lecturer 1 11%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 3 33%
Neuroscience 2 22%
Engineering 1 11%
Unknown 3 33%
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 09 July 2024.
All research outputs
#2,445,706
of 26,370,291 outputs
Outputs from Chaos, Solitons & Fractals
#47
of 1,642 outputs
Outputs of similar age
#8,672
of 100,768 outputs
Outputs of similar age from Chaos, Solitons & Fractals
#1
of 28 outputs
Altmetric has tracked 26,370,291 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 1,642 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% 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 100,768 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 92% of its contemporaries.
We're also able to compare this research output to 28 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 96% of its contemporaries.