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% |