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Efficient graph convolutional networks for seizure prediction using scalp EEG

Overview of attention for article published in Frontiers in Neuroscience, August 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Efficient graph convolutional networks for seizure prediction using scalp EEG
Published in
Frontiers in Neuroscience, August 2022
DOI 10.3389/fnins.2022.967116
Pubmed ID
Authors

Manhua Jia, Wenjian Liu, Junwei Duan, Long Chen, C. L. Philip Chen, Qun Wang, Zhiguo Zhou

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 10%
Student > Bachelor 3 10%
Researcher 2 7%
Professor > Associate Professor 2 7%
Student > Doctoral Student 1 3%
Other 5 17%
Unknown 13 45%
Readers by discipline Count As %
Engineering 4 14%
Computer Science 3 10%
Unspecified 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Other 3 10%
Unknown 15 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 August 2022.
All research outputs
#16,365,005
of 26,629,129 outputs
Outputs from Frontiers in Neuroscience
#6,864
of 11,986 outputs
Outputs of similar age
#208,866
of 439,770 outputs
Outputs of similar age from Frontiers in Neuroscience
#214
of 477 outputs
Altmetric has tracked 26,629,129 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,986 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 42nd percentile – i.e., 42% 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 439,770 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 51% of its contemporaries.
We're also able to compare this research output to 477 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 53% of its contemporaries.