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X Demographics
Mendeley readers
Attention Score in Context
| 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, Juš 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 33% |
| Spain | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 192 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% |
| Korea, Republic of | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 187 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 33 | 17% |
| Student > Ph. D. Student | 30 | 16% |
| Researcher | 26 | 14% |
| Student > Bachelor | 19 | 10% |
| Student > Doctoral Student | 10 | 5% |
| Other | 37 | 19% |
| Unknown | 37 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 38 | 20% |
| Neuroscience | 30 | 16% |
| Computer Science | 16 | 8% |
| Nursing and Health Professions | 13 | 7% |
| Medicine and Dentistry | 13 | 7% |
| Other | 34 | 18% |
| Unknown | 48 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 November 2021.
All research outputs
#6,374,203
of 25,374,917 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#359
of 1,413 outputs
Outputs of similar age
#69,005
of 322,947 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#10
of 23 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 74% 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 322,947 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 78% of its contemporaries.
We're also able to compare this research output to 23 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 56% of its contemporaries.