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Mendeley readers
Chapter title |
Deep Learning for Detecting Freezing of Gait Episodes in Parkinson’s Disease Based on Accelerometers
|
---|---|
Chapter number | 30 |
Book title |
Advances in Computational Intelligence
|
Published by |
Springer, Cham, June 2017
|
DOI | 10.1007/978-3-319-59147-6_30 |
Book ISBNs |
978-3-31-959146-9, 978-3-31-959147-6
|
Authors |
Julià Camps, Albert Samà, Mario Martín, Daniel Rodríguez-Martín, Carlos Pérez-López, Sheila Alcaine, Berta Mestre, Anna Prats, M. Cruz Crespo, Joan Cabestany, Àngels Bayés, Andreu Català |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 27% |
Researcher | 9 | 13% |
Student > Master | 8 | 12% |
Student > Doctoral Student | 4 | 6% |
Student > Bachelor | 4 | 6% |
Other | 9 | 13% |
Unknown | 15 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 21 | 31% |
Computer Science | 14 | 21% |
Medicine and Dentistry | 5 | 7% |
Neuroscience | 4 | 6% |
Social Sciences | 1 | 1% |
Other | 3 | 4% |
Unknown | 19 | 28% |