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Review of EEG-based pattern classification frameworks for dyslexia

Overview of attention for article published in Brain Informatics, June 2018
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1 X user

Citations

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Readers on

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102 Mendeley
Title
Review of EEG-based pattern classification frameworks for dyslexia
Published in
Brain Informatics, June 2018
DOI 10.1186/s40708-018-0079-9
Pubmed ID
Authors

Harshani Perera, Mohd Fairuz Shiratuddin, Kok Wai Wong

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

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 18%
Student > Master 11 11%
Student > Bachelor 10 10%
Student > Doctoral Student 7 7%
Researcher 7 7%
Other 12 12%
Unknown 37 36%
Readers by discipline Count As %
Engineering 18 18%
Computer Science 16 16%
Neuroscience 12 12%
Psychology 7 7%
Arts and Humanities 2 2%
Other 7 7%
Unknown 40 39%
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 12 January 2020.
All research outputs
#18,707,884
of 23,186,937 outputs
Outputs from Brain Informatics
#84
of 106 outputs
Outputs of similar age
#254,005
of 328,929 outputs
Outputs of similar age from Brain Informatics
#4
of 4 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 4.3. This one is in the 11th percentile – i.e., 11% 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 328,929 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.