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Mendeley readers
Title |
An approach to improve the performance of subject-independent BCIs-based on motor imagery allocating subjects by gender
|
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Published in |
BioMedical Engineering OnLine, December 2014
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DOI | 10.1186/1475-925x-13-158 |
Pubmed ID | |
Authors |
Jessica Cantillo-Negrete, Josefina Gutierrez-Martinez, Ruben I Carino-Escobar, Paul Carrillo-Mora, David Elias-Vinas |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Hungary | 1 | 1% |
Netherlands | 1 | 1% |
Unknown | 90 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 24% |
Student > Ph. D. Student | 13 | 14% |
Student > Bachelor | 12 | 13% |
Researcher | 8 | 9% |
Student > Doctoral Student | 3 | 3% |
Other | 9 | 10% |
Unknown | 25 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 17 | 18% |
Psychology | 10 | 11% |
Nursing and Health Professions | 9 | 10% |
Medicine and Dentistry | 9 | 10% |
Neuroscience | 7 | 8% |
Other | 10 | 11% |
Unknown | 30 | 33% |