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Electroencephalography-based endogenous brain–computer interface for online communication with a completely locked-in patient

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, January 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
114 Mendeley
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Title
Electroencephalography-based endogenous brain–computer interface for online communication with a completely locked-in patient
Published in
Journal of NeuroEngineering and Rehabilitation, January 2019
DOI 10.1186/s12984-019-0493-0
Pubmed ID
Authors

Chang-Hee Han, Yong-Wook Kim, Do Yeon Kim, Seung Hyun Kim, Zoran Nenadic, Chang-Hwan Im

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 16%
Student > Master 13 11%
Student > Bachelor 13 11%
Researcher 11 10%
Student > Doctoral Student 7 6%
Other 14 12%
Unknown 38 33%
Readers by discipline Count As %
Engineering 31 27%
Neuroscience 10 9%
Computer Science 10 9%
Biochemistry, Genetics and Molecular Biology 5 4%
Medicine and Dentistry 5 4%
Other 9 8%
Unknown 44 39%
Attention Score in Context

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 27 March 2019.
All research outputs
#13,120,116
of 23,125,690 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#604
of 1,294 outputs
Outputs of similar age
#203,383
of 438,016 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#18
of 42 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,294 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 52% 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 438,016 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 52% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.