You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques
|
|---|---|
| Published in |
Sensors, November 2019
|
| DOI | 10.3390/s19235227 |
| Pubmed ID | |
| Authors |
Reed D. Gurchiek, Nick Cheney, Ryan S. McGinnis |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 125 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 18% |
| Student > Master | 19 | 15% |
| Researcher | 11 | 9% |
| Student > Doctoral Student | 9 | 7% |
| Other | 9 | 7% |
| Other | 14 | 11% |
| Unknown | 40 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 41 | 33% |
| Computer Science | 9 | 7% |
| Medicine and Dentistry | 6 | 5% |
| Sports and Recreations | 4 | 3% |
| Nursing and Health Professions | 3 | 2% |
| Other | 13 | 10% |
| Unknown | 49 | 39% |