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Mendeley readers
Chapter title |
Online Seizure Detection from EEG and ECG Signals for Monitoring of Epileptic Patients
|
---|---|
Chapter number | 37 |
Book title |
Artificial Intelligence: Methods and Applications
|
Published by |
Springer, Cham, May 2014
|
DOI | 10.1007/978-3-319-07064-3_37 |
Book ISBNs |
978-3-31-907063-6, 978-3-31-907064-3
|
Authors |
Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki, Michalis Koutroumanidis, Vasileios Megalooikonomou |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 28% |
Student > Master | 6 | 24% |
Researcher | 4 | 16% |
Professor | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 1 | 4% |
Unknown | 5 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 32% |
Computer Science | 6 | 24% |
Medicine and Dentistry | 2 | 8% |
Neuroscience | 2 | 8% |
Social Sciences | 1 | 4% |
Other | 2 | 8% |
Unknown | 4 | 16% |