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Cross-Subject EEG Emotion Recognition With Self-Organized Graph Neural Network

Overview of attention for article published in Frontiers in Neuroscience, June 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Cross-Subject EEG Emotion Recognition With Self-Organized Graph Neural Network
Published in
Frontiers in Neuroscience, June 2021
DOI 10.3389/fnins.2021.611653
Pubmed ID
Authors

Jingcong Li, Shuqi Li, Jiahui Pan, Fei Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 13%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Student > Postgraduate 3 6%
Lecturer 2 4%
Other 6 13%
Unknown 21 45%
Readers by discipline Count As %
Engineering 13 28%
Computer Science 8 17%
Neuroscience 2 4%
Unspecified 1 2%
Psychology 1 2%
Other 0 0%
Unknown 22 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 June 2021.
All research outputs
#7,389,735
of 26,146,017 outputs
Outputs from Frontiers in Neuroscience
#4,703
of 11,762 outputs
Outputs of similar age
#149,241
of 462,795 outputs
Outputs of similar age from Frontiers in Neuroscience
#121
of 390 outputs
Altmetric has tracked 26,146,017 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,762 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 gotten more attention than average, scoring higher than 59% 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 462,795 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 390 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.