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Mendeley readers
Chapter title |
Analysis of Social Media Posts for Early Detection of Mental Health Conditions
|
---|---|
Chapter number | 11 |
Book title |
Advances in Artificial Intelligence
|
Published by |
Springer, Cham, May 2018
|
DOI | 10.1007/978-3-319-89656-4_11 |
Book ISBNs |
978-3-31-989655-7, 978-3-31-989656-4
|
Authors |
Antoine Briand, Hayda Almeida, Marie-Jean Meurs, Briand, Antoine, Almeida, Hayda, Meurs, Marie-Jean |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 19% |
Researcher | 4 | 13% |
Student > Bachelor | 3 | 9% |
Student > Master | 2 | 6% |
Other | 1 | 3% |
Other | 2 | 6% |
Unknown | 14 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 25% |
Psychology | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Linguistics | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 4 | 13% |
Unknown | 15 | 47% |