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Timeline
Mendeley readers
Chapter title |
Detecting Epilepsy in EEG Signals Using Time, Frequency and Time-Frequency Domain Features
|
---|---|
Chapter number | 9 |
Book title |
Computer Science and Engineering—Theory and Applications
|
Published by |
Springer, Cham, January 2018
|
DOI | 10.1007/978-3-319-74060-7_9 |
Book ISBNs |
978-3-31-974059-1, 978-3-31-974060-7
|
Authors |
D. E. Hernández, L. Trujillo, E. Z-Flores, O. M. Villanueva, O. Romo-Fewell |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 21% |
Student > Ph. D. Student | 5 | 15% |
Student > Master | 5 | 15% |
Lecturer | 3 | 9% |
Lecturer > Senior Lecturer | 2 | 6% |
Other | 5 | 15% |
Unknown | 7 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 12 | 35% |
Computer Science | 6 | 18% |
Physics and Astronomy | 1 | 3% |
Unspecified | 1 | 3% |
Neuroscience | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 35% |