The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
| Title |
Deep Learning-Based Human Activity Recognition for Continuous Activity and Gesture Monitoring for Schizophrenia Patients With Negative Symptoms
|
|---|---|
| Published in |
Frontiers in Psychiatry, September 2020
|
| DOI | 10.3389/fpsyt.2020.574375 |
| Pubmed ID | |
| Authors |
Daniel Umbricht, Wei-Yi Cheng, Florian Lipsmeier, Atieh Bamdadian, Michael Lindemann |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 16% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 9 | 12% |
| Student > Master | 7 | 9% |
| Other | 4 | 5% |
| Other | 6 | 8% |
| Unknown | 27 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 13% |
| Medicine and Dentistry | 8 | 11% |
| Neuroscience | 6 | 8% |
| Computer Science | 4 | 5% |
| Engineering | 4 | 5% |
| Other | 14 | 18% |
| Unknown | 30 | 39% |