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Coadaptive Brain–Machine Interface via Reinforcement Learning

Overview of attention for article published in IEEE Transactions on Biomedical Engineering, June 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users
patent
5 patents

Readers on

mendeley
210 Mendeley
citeulike
2 CiteULike
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Article details
Title
Coadaptive Brain–Machine Interface via Reinforcement Learning
Published in
IEEE Transactions on Biomedical Engineering, June 2008
DOI 10.1109/tbme.2008.926699
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 7 3%
Portugal 2 <1%
France 2 <1%
Germany 2 <1%
Poland 1 <1%
Norway 1 <1%
Japan 1 <1%
Hong Kong 1 <1%
United Kingdom 1 <1%
Other 4 2%
Unknown 188 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 61 29%
Student > Master 35 17%
Researcher 22 10%
Student > Bachelor 13 6%
Professor > Associate Professor 13 6%
Other 33 16%
Unknown 33 16%
Readers by discipline
Readers by discipline Count As %
Engineering 73 35%
Computer Science 40 19%
Agricultural and Biological Sciences 22 10%
Neuroscience 15 7%
Medicine and Dentistry 9 4%
Other 9 4%
Unknown 42 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 July 2026.
All research outputs
#3,378,810
of 26,832,738 outputs
Outputs from IEEE Transactions on Biomedical Engineering
#263
of 4,783 outputs
Outputs of similar age
#10,245
of 99,068 outputs
Outputs of similar age from IEEE Transactions on Biomedical Engineering
#2
of 38 outputs
Altmetric has tracked 26,832,738 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,783 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 94% 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 99,068 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 89% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.