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Timeline
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 11% |
Professor > Associate Professor | 4 | 11% |
Lecturer | 2 | 6% |
Unspecified | 2 | 6% |
Student > Master | 2 | 6% |
Other | 3 | 9% |
Unknown | 18 | 51% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 11% |
Psychology | 3 | 9% |
Engineering | 2 | 6% |
Unspecified | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Other | 4 | 11% |
Unknown | 19 | 54% |