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X Demographics
Mendeley readers
| Title |
Identification of Suicidal Ideation in the Canadian Community Health Survey—Mental Health Component Using Deep Learning
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, June 2021
|
| DOI | 10.3389/frai.2021.561528 |
| Pubmed ID | |
| Authors |
Sneha Desai, Myriam Tanguay-Sela, David Benrimoh, Robert Fratila, Eleanor Brown, Kelly Perlman, Ann John, Marcos DelPozo-Banos, Nancy Low, Sonia Israel, Lisa Palladini, Gustavo Turecki |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 12% |
| Professor > Associate Professor | 4 | 12% |
| Lecturer | 2 | 6% |
| Student > Master | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 18 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 12% |
| Psychology | 3 | 9% |
| Engineering | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 19 | 56% |