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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Status of deep learning for EEG-based brain–computer interface applications
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2023
|
| DOI | 10.3389/fncom.2022.1006763 |
| Pubmed ID | |
| Authors |
Khondoker Murad Hossain, Ariful Islam, Shahera Hossain, Anton Nijholt, Atiqur Rahman Ahad |
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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 12 | 16% |
| Student > Bachelor | 7 | 10% |
| Researcher | 5 | 7% |
| Student > Master | 5 | 7% |
| Other | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 29 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 13 | 18% |
| Computer Science | 12 | 16% |
| Engineering | 7 | 10% |
| Medicine and Dentistry | 3 | 4% |
| Neuroscience | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 32 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 December 2023.
All research outputs
#15,535,945
of 25,076,138 outputs
Outputs from Frontiers in Computational Neuroscience
#667
of 1,439 outputs
Outputs of similar age
#215,163
of 466,271 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#8
of 30 outputs
Altmetric has tracked 25,076,138 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,439 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 466,271 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 52% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.