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Mendeley readers
| Title |
A pervasive neural network based fall detection system on smart phone
|
|---|---|
| Published in |
Journal of Ambient Intelligence & Smart Environments, January 2015
|
| DOI | 10.3233/ais-150306 |
| Authors |
Hamideh Kerdegari, Saeid Mokaram, Khairulmizam Samsudin, Abdul Rahman Ramli |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Student > Bachelor | 2 | 13% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Student > Master | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 19% |
| Engineering | 3 | 19% |
| Medicine and Dentistry | 1 | 6% |
| Social Sciences | 1 | 6% |
| Unknown | 8 | 50% |