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Mendeley readers
| Title |
Reconstruction of gait biomechanical parameters using cyclograms and artificial neural networks
|
|---|---|
| Published in |
Research on Biomedical Engineering, August 2017
|
| DOI | 10.1590/2446-4740.01017 |
| Authors |
Thiago Bruno Caparelli, Eduardo Lázaro Martins Naves |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Student > Bachelor | 5 | 17% |
| Professor > Associate Professor | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 9 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 21% |
| Computer Science | 4 | 14% |
| Medicine and Dentistry | 3 | 10% |
| Nursing and Health Professions | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 10 | 34% |