The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
A Transfer Learning Algorithm to Reduce Brain-Computer Interface Calibration Time for Long-Term Users
|
|---|---|
| Published in |
Frontiers in Neuroergonomics, April 2022
|
| DOI | 10.3389/fnrgo.2022.837307 |
| Pubmed ID | |
| Authors |
Joshua Giles, Kai Keng Ang, Kok Soon Phua, Mahnaz Arvaneh |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 27% |
| Student > Bachelor | 2 | 18% |
| Student > Postgraduate | 1 | 9% |
| Researcher | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 45% |
| Medicine and Dentistry | 1 | 9% |
| Unknown | 5 | 45% |