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Mendeley readers
| Title |
Assessing elderly’s functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in timed up and go tests
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2021
|
| DOI | 10.1186/s12911-021-01463-4 |
| Pubmed ID | |
| Authors |
Lisha Yu, Yang Zhao, Hailiang Wang, Tien-Lung Sun, Terrence E. Murphy, Kwok-Leung Tsui |
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 | 9 | 13% |
| Student > Bachelor | 6 | 9% |
| Librarian | 4 | 6% |
| Student > Postgraduate | 3 | 4% |
| Student > Master | 3 | 4% |
| Other | 10 | 15% |
| Unknown | 32 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 11 | 16% |
| Engineering | 6 | 9% |
| Medicine and Dentistry | 5 | 7% |
| Neuroscience | 4 | 6% |
| Sports and Recreations | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 33 | 49% |