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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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1 X user

Citations

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Readers on

mendeley
306 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

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 306 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 11%
Student > Ph. D. Student 27 9%
Researcher 24 8%
Student > Bachelor 21 7%
Student > Doctoral Student 12 4%
Other 42 14%
Unknown 146 48%
Readers by discipline Count As %
Engineering 47 15%
Computer Science 43 14%
Neuroscience 15 5%
Medicine and Dentistry 10 3%
Biochemistry, Genetics and Molecular Biology 8 3%
Other 28 9%
Unknown 155 51%
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 26 May 2020.
All research outputs
#15,609,465
of 23,208,901 outputs
Outputs from Brain Informatics
#69
of 107 outputs
Outputs of similar age
#245,995
of 393,242 outputs
Outputs of similar age from Brain Informatics
#1
of 1 outputs
Altmetric has tracked 23,208,901 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 25th percentile – i.e., 25% 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 393,242 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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