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Timeline
Mendeley readers
Chapter title |
Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation
|
---|---|
Chapter number | 25 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-10997-4_25 |
Book ISBNs |
978-3-03-010996-7, 978-3-03-010997-4
|
Authors |
Adam Tsakalidis, Maria Liakata, Theo Damoulas, Alexandra I. Cristea |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 21% |
Student > Master | 8 | 17% |
Researcher | 7 | 15% |
Student > Bachelor | 3 | 6% |
Student > Postgraduate | 2 | 4% |
Other | 2 | 4% |
Unknown | 15 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 32% |
Engineering | 6 | 13% |
Social Sciences | 4 | 9% |
Business, Management and Accounting | 1 | 2% |
Arts and Humanities | 1 | 2% |
Other | 3 | 6% |
Unknown | 17 | 36% |