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Seizure classification with selected frequency bands and EEG montages: a Natural Language Processing approach

Overview of attention for article published in Brain Informatics, May 2022
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1 X user

Citations

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Readers on

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55 Mendeley
Title
Seizure classification with selected frequency bands and EEG montages: a Natural Language Processing approach
Published in
Brain Informatics, May 2022
DOI 10.1186/s40708-022-00159-3
Pubmed ID
Authors

Ziwei Wang, Paolo Mengoni

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

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 7%
Researcher 4 7%
Lecturer 3 5%
Student > Postgraduate 3 5%
Student > Doctoral Student 2 4%
Other 6 11%
Unknown 33 60%
Readers by discipline Count As %
Engineering 5 9%
Social Sciences 4 7%
Computer Science 3 5%
Medicine and Dentistry 2 4%
Agricultural and Biological Sciences 1 2%
Other 5 9%
Unknown 35 64%
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 27 May 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Brain Informatics
#95
of 106 outputs
Outputs of similar age
#356,605
of 441,232 outputs
Outputs of similar age from Brain Informatics
#3
of 3 outputs
Altmetric has tracked 23,312,088 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 106 research outputs from this source. They receive a mean Attention Score of 4.6. 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 441,232 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 3 others from the same source and published within six weeks on either side of this one.