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Mendeley readers
Chapter title |
Identifying Users with Opposing Opinions in Twitter Debates
|
---|---|
Chapter number | 19 |
Book title |
Social Computing, Behavioral-Cultural Modeling and Prediction
|
Published by |
Springer, Cham, April 2014
|
DOI | 10.1007/978-3-319-05579-4_19 |
Book ISBNs |
978-3-31-905578-7, 978-3-31-905579-4
|
Authors |
Ashwin Rajadesingan, Huan Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
China | 1 | 2% |
Brazil | 1 | 2% |
Egypt | 1 | 2% |
Unknown | 58 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 27% |
Student > Master | 12 | 19% |
Student > Doctoral Student | 5 | 8% |
Other | 4 | 6% |
Researcher | 3 | 5% |
Other | 11 | 17% |
Unknown | 11 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 29 | 46% |
Social Sciences | 10 | 16% |
Business, Management and Accounting | 5 | 8% |
Mathematics | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 5 | 8% |
Unknown | 12 | 19% |