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Mendeley readers
Chapter title |
Analysis of EEG Features for Brain Computer Interface Application
|
---|---|
Chapter number | 45 |
Book title |
InECCE2019
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-15-2317-5_45 |
Book ISBNs |
978-9-81-152316-8, 978-9-81-152317-5
|
Authors |
Mamunur Rashid, Norizam Sulaiman, Mahfuzah Mustafa, Mohd Shawal Jadin, Muhd Sharfi Najib, Bifta Sama Bari, Sabira Khatun, Rashid, Mamunur, Sulaiman, Norizam, Mustafa, Mahfuzah, Jadin, Mohd Shawal, Najib, Muhd Sharfi, Bari, Bifta Sama, Khatun, Sabira |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 27% |
Lecturer > Senior Lecturer | 2 | 13% |
Lecturer | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Other | 2 | 13% |
Unknown | 4 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 53% |
Sports and Recreations | 1 | 7% |
Computer Science | 1 | 7% |
Unknown | 5 | 33% |