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X Demographics
Mendeley readers
| Title |
On the use of AI for Generation of Functional Music to Improve Mental Health
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2020
|
| DOI | 10.3389/frai.2020.497864 |
| Pubmed ID | |
| Authors |
Duncan Williams, Victoria J. Hodge, Chia-Yu Wu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 40% |
| Switzerland | 1 | 10% |
| Japan | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 8% |
| Student > Master | 7 | 7% |
| Student > Bachelor | 5 | 5% |
| Student > Ph. D. Student | 4 | 4% |
| Lecturer | 3 | 3% |
| Other | 15 | 15% |
| Unknown | 60 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 8% |
| Psychology | 7 | 7% |
| Medicine and Dentistry | 5 | 5% |
| Social Sciences | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 12 | 12% |
| Unknown | 63 | 62% |