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Mendeley readers
Chapter title |
Real-Time Workload Assessment Using EEG Signals in Virtual Reality Environment
|
---|---|
Chapter number | 258 |
Book title |
XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-32703-7_258 |
Book ISBNs |
978-3-31-932701-3, 978-3-31-932703-7
|
Authors |
Shen Ren, Fabio Babiloni, Nitish V. Thakor, Anastasios Bezerianos, Oriana Ciani, Carlo Federici, Rosanna Tarricone |
Editors |
Efthyvoulos Kyriacou, Stelios Christofides, Constantinos S. Pattichis |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 16% |
Student > Ph. D. Student | 3 | 16% |
Lecturer > Senior Lecturer | 1 | 5% |
Lecturer | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 6 | 32% |
Unknown | 4 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 3 | 16% |
Medicine and Dentistry | 2 | 11% |
Engineering | 2 | 11% |
Decision Sciences | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Other | 2 | 11% |
Unknown | 8 | 42% |