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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2020
|
| DOI | 10.3389/fncom.2019.00087 |
| Pubmed ID | |
| Authors |
Simanto Saha, Mathias Baumert |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 33% |
| Switzerland | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 181 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 30 | 17% |
| Student > Ph. D. Student | 29 | 16% |
| Researcher | 17 | 9% |
| Student > Doctoral Student | 12 | 7% |
| Student > Bachelor | 11 | 6% |
| Other | 22 | 12% |
| Unknown | 60 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 43 | 24% |
| Neuroscience | 23 | 13% |
| Computer Science | 18 | 10% |
| Psychology | 5 | 3% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 17 | 9% |
| Unknown | 71 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 June 2023.
All research outputs
#7,033,049
of 24,476,221 outputs
Outputs from Frontiers in Computational Neuroscience
#352
of 1,419 outputs
Outputs of similar age
#146,094
of 465,659 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#17
of 35 outputs
Altmetric has tracked 24,476,221 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,419 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 465,659 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 67% of its contemporaries.
We're also able to compare this research output to 35 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 54% of its contemporaries.