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Epileptic seizure detection from EEG signals using logistic model trees

Overview of attention for article published in Brain Informatics, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 107)
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
3 patents

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
68 Mendeley
Title
Epileptic seizure detection from EEG signals using logistic model trees
Published in
Brain Informatics, January 2016
DOI 10.1007/s40708-015-0030-2
Pubmed ID
Authors

Enamul Kabir, Siuly, Yanchun Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 15%
Student > Bachelor 8 12%
Student > Master 7 10%
Lecturer 6 9%
Unspecified 5 7%
Other 14 21%
Unknown 18 26%
Readers by discipline Count As %
Computer Science 18 26%
Engineering 14 21%
Unspecified 5 7%
Psychology 2 3%
Agricultural and Biological Sciences 1 1%
Other 4 6%
Unknown 24 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 April 2022.
All research outputs
#4,888,383
of 23,515,383 outputs
Outputs from Brain Informatics
#31
of 107 outputs
Outputs of similar age
#84,683
of 397,910 outputs
Outputs of similar age from Brain Informatics
#5
of 10 outputs
Altmetric has tracked 23,515,383 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 71% 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 397,910 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.