You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
Denoising EEG Signals for Real-World BCI Applications Using GANs
|
|---|---|
| Published by |
Frontiers, January 2022
|
| DOI | 10.3389/fnrgo.2021.805573 |
| Pubmed ID | |
| Authors |
Eoin Brophy, Peter Redmond, Andrew Fleury, Maarten De Vos, Geraldine Boylan, Tomás Ward |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 25% |
| Student > Master | 2 | 10% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 30% |
| Computer Science | 2 | 10% |
| Neuroscience | 1 | 5% |
| Unknown | 11 | 55% |