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An approach to improve the performance of subject-independent BCIs-based on motor imagery allocating subjects by gender

Overview of attention for article published in BioMedical Engineering OnLine, December 2014
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92 Mendeley
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Title
An approach to improve the performance of subject-independent BCIs-based on motor imagery allocating subjects by gender
Published in
BioMedical Engineering OnLine, December 2014
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

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%