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Domain adaptation for EEG-based, cross-subject epileptic seizure prediction

Overview of attention for article published in Frontiers in Neuroinformatics, February 2024
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1 X user

Citations

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4 Mendeley
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Title
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction
Published in
Frontiers in Neuroinformatics, February 2024
DOI 10.3389/fninf.2024.1303380
Pubmed ID
Authors

Imene Jemal, Lina Abou-Abbas, Khadidja Henni, Amar Mitiche, Neila Mezghani

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Nursing and Health Professions 1 25%
Unknown 3 75%
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 23 February 2024.
All research outputs
#22,754,149
of 25,378,284 outputs
Outputs from Frontiers in Neuroinformatics
#730
of 829 outputs
Outputs of similar age
#190,090
of 233,708 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#10
of 11 outputs
Altmetric has tracked 25,378,284 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 829 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 233,708 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 11 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.