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A review of epileptic seizure detection using machine learning classifiers

Overview of attention for article published in Brain Informatics, May 2020
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About this Attention Score

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

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
112 Mendeley
Title
A review of epileptic seizure detection using machine learning classifiers
Published in
Brain Informatics, May 2020
DOI 10.1186/s40708-020-00105-1
Pubmed ID
Authors

Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Xiaodi Huang, Nasir Hussain

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 15%
Student > Master 16 14%
Student > Bachelor 13 12%
Researcher 8 7%
Other 7 6%
Other 19 17%
Unknown 32 29%
Readers by discipline Count As %
Engineering 23 21%
Computer Science 17 15%
Medicine and Dentistry 7 6%
Neuroscience 7 6%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 13 12%
Unknown 40 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 May 2020.
All research outputs
#9,786,788
of 17,831,129 outputs
Outputs from Brain Informatics
#27
of 76 outputs
Outputs of similar age
#135,478
of 294,606 outputs
Outputs of similar age from Brain Informatics
#1
of 1 outputs
Altmetric has tracked 17,831,129 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 76 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 63% 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 294,606 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 53% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them