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An exploration of EEG features during recovery following stroke - implications for BCI-mediated neurorehabilitation therapy

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, January 2014
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters
googleplus
1 Google+ user

Citations

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31 Dimensions

Readers on

mendeley
140 Mendeley
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Title
An exploration of EEG features during recovery following stroke - implications for BCI-mediated neurorehabilitation therapy
Published in
Journal of NeuroEngineering and Rehabilitation, January 2014
DOI 10.1186/1743-0003-11-9
Pubmed ID
Authors

Darren J Leamy, Ju¿ Kocijan, Katarina Domijan, Joseph Duffin, Richard AP Roche, Sean Commins, Rónán Collins, Tomas E Ward

Abstract

Brain-Computer Interfaces (BCI) can potentially be used to aid in the recovery of lost motor controlin a limb following stroke. BCIs are typically used by subjects with no damage to the brain thereforerelatively little is known about the technical requirements for the design of a rehabilitative BCI forstroke.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
Uruguay 1 <1%
India 1 <1%
United Kingdom 1 <1%
Korea, Republic of 1 <1%
United States 1 <1%
Unknown 134 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 20%
Student > Master 25 18%
Researcher 24 17%
Student > Bachelor 15 11%
Student > Doctoral Student 9 6%
Other 26 19%
Unknown 13 9%
Readers by discipline Count As %
Engineering 35 25%
Neuroscience 23 16%
Computer Science 13 9%
Medicine and Dentistry 12 9%
Nursing and Health Professions 10 7%
Other 27 19%
Unknown 20 14%

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 07 October 2014.
All research outputs
#1,627,690
of 4,340,057 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#108
of 326 outputs
Outputs of similar age
#36,924
of 120,212 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#13
of 25 outputs
Altmetric has tracked 4,340,057 research outputs across all sources so far. This one has received more attention than most of these and is in the 61st percentile.
So far Altmetric has tracked 326 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 66% 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 120,212 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 68% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.