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Mendeley readers
| Title |
Assessing aberrant muscle activity patterns via the analysis of surface EMG data collected during a functional evaluation
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, January 2019
|
| DOI | 10.1186/s12891-018-2350-x |
| Pubmed ID | |
| Authors |
Fatemeh Noushin Golabchi, Stefano Sapienza, Giacomo Severini, Phil Reaston, Frank Tomecek, Danilo Demarchi, MaryRose Reaston, Paolo Bonato |
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 % |
|---|---|---|
| Researcher | 9 | 13% |
| Other | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Master | 6 | 9% |
| Other | 12 | 18% |
| Unknown | 22 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 21% |
| Engineering | 13 | 19% |
| Nursing and Health Professions | 4 | 6% |
| Neuroscience | 3 | 4% |
| Sports and Recreations | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 26 | 39% |