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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High Classification Accuracy of a Motor Imagery Based Brain-Computer Interface for Stroke Rehabilitation Training
|
|---|---|
| Published in |
Frontiers in Robotics and AI, November 2018
|
| DOI | 10.3389/frobt.2018.00130 |
| Pubmed ID | |
| Authors |
Danut C. Irimia, Rupert Ortner, Marian S. Poboroniuc, Bogdan E. Ignat, Christoph Guger |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| Switzerland | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 13% |
| Researcher | 11 | 10% |
| Student > Master | 11 | 10% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 4 | 4% |
| Other | 10 | 9% |
| Unknown | 48 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 16% |
| Neuroscience | 10 | 9% |
| Computer Science | 10 | 9% |
| Nursing and Health Professions | 9 | 8% |
| Medicine and Dentistry | 4 | 4% |
| Other | 9 | 8% |
| Unknown | 48 | 45% |
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 30 November 2018.
All research outputs
#7,692,405
of 23,400,864 outputs
Outputs from Frontiers in Robotics and AI
#542
of 1,550 outputs
Outputs of similar age
#156,877
of 439,826 outputs
Outputs of similar age from Frontiers in Robotics and AI
#10
of 24 outputs
Altmetric has tracked 23,400,864 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,550 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 64% 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 439,826 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 55% of its contemporaries.
We're also able to compare this research output to 24 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 58% of its contemporaries.