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 |
Automatic ML-based vestibular gait classification: examining the effects of IMU placement and gait task selection
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, December 2022
|
| DOI | 10.1186/s12984-022-01099-z |
| Pubmed ID | |
| Authors |
Safa Jabri, Wendy Carender, Jenna Wiens, Kathleen H. Sienko |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 14% |
| Student > Master | 2 | 14% |
| Student > Doctoral Student | 1 | 7% |
| Other | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 14% |
| Neuroscience | 2 | 14% |
| Nursing and Health Professions | 1 | 7% |
| Computer Science | 1 | 7% |
| Unknown | 8 | 57% |