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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces
|
|---|---|
| Published in |
Frontiers in Neuroscience, September 2020
|
| DOI | 10.3389/fnins.2020.00918 |
| Pubmed ID | |
| Authors |
Sujit Roy, Anirban Chowdhury, Karl McCreadie, Girijesh Prasad |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Vietnam | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 7 | 12% |
| Student > Doctoral Student | 3 | 5% |
| Professor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 23 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 28% |
| Computer Science | 11 | 19% |
| Neuroscience | 5 | 9% |
| Sports and Recreations | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 23 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 18 October 2020.
All research outputs
#2,892,176
of 26,456,908 outputs
Outputs from Frontiers in Neuroscience
#1,800
of 11,883 outputs
Outputs of similar age
#71,827
of 437,166 outputs
Outputs of similar age from Frontiers in Neuroscience
#119
of 324 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 84% 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 437,166 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 83% of its contemporaries.
We're also able to compare this research output to 324 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 63% of its contemporaries.