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Principles of neural ensemble physiology underlying the operation of brain–machine interfaces

Overview of attention for article published in Nature Reviews Neuroscience, July 2009
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
5 tweeters
patent
1 patent
facebook
1 Facebook page
wikipedia
1 Wikipedia page
video
1 video uploader

Citations

dimensions_citation
285 Dimensions

Readers on

mendeley
680 Mendeley
citeulike
8 CiteULike
connotea
1 Connotea
Title
Principles of neural ensemble physiology underlying the operation of brain–machine interfaces
Published in
Nature Reviews Neuroscience, July 2009
DOI 10.1038/nrn2653
Pubmed ID
Authors

Miguel A. L. Nicolelis, Mikhail A. Lebedev

Abstract

Research on brain-machine interfaces has been ongoing for at least a decade. During this period, simultaneous recordings of the extracellular electrical activity of hundreds of individual neurons have been used for direct, real-time control of various artificial devices. Brain-machine interfaces have also added greatly to our knowledge of the fundamental physiological principles governing the operation of large neural ensembles. Further understanding of these principles is likely to have a key role in the future development of neuroprosthetics for restoring mobility in severely paralysed patients.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 680 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 37 5%
Germany 11 2%
United Kingdom 10 1%
Brazil 6 <1%
Italy 5 <1%
Israel 4 <1%
Canada 4 <1%
Japan 3 <1%
Switzerland 3 <1%
Other 26 4%
Unknown 571 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 176 26%
Researcher 158 23%
Student > Master 74 11%
Student > Bachelor 51 8%
Professor > Associate Professor 48 7%
Other 142 21%
Unknown 31 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 176 26%
Engineering 132 19%
Neuroscience 98 14%
Psychology 58 9%
Medicine and Dentistry 58 9%
Other 110 16%
Unknown 48 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 June 2020.
All research outputs
#1,949,421
of 15,441,426 outputs
Outputs from Nature Reviews Neuroscience
#902
of 2,315 outputs
Outputs of similar age
#33,479
of 263,476 outputs
Outputs of similar age from Nature Reviews Neuroscience
#16
of 67 outputs
Altmetric has tracked 15,441,426 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 2,315 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.5. This one has gotten more attention than average, scoring higher than 60% 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 263,476 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 87% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.