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X Demographics
Mendeley readers
Chapter title |
Detecting Mental Health Illness Using Short Comments
|
---|---|
Chapter number | 23 |
Book title |
Advanced Information Networking and Applications
|
Published by |
Springer, Cham, March 2019
|
DOI | 10.1007/978-3-030-15032-7_23 |
Book ISBNs |
978-3-03-015031-0, 978-3-03-015032-7
|
Authors |
Takahiro Baba, Kensuke Baba, Daisuke Ikeda, Baba, Takahiro, Baba, Kensuke, Ikeda, Daisuke |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Professor | 2 | 17% |
Lecturer | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 33% |
Linguistics | 1 | 8% |
Social Sciences | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 5 | 42% |