The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
| Title |
Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions
|
|---|---|
| Published in |
Frontiers in Neuroscience, March 2022
|
| DOI | 10.3389/fnins.2022.796711 |
| Pubmed ID | |
| Authors |
Parviz Ghaderi, Marjan Nosouhi, Mislav Jordanic, Hamid Reza Marateb, Miguel Angel Mañanas, Dario Farina |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 27% |
| Librarian | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Unknown | 8 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 20% |
| Medicine and Dentistry | 2 | 13% |
| Environmental Science | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Unknown | 8 | 53% |