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Mendeley readers
Chapter title |
Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis
|
---|---|
Chapter number | 108 |
Book title |
HCI International 2015 - Posters’ Extended Abstracts
|
Published by |
Springer International Publishing, August 2015
|
DOI | 10.1007/978-3-319-21380-4_108 |
Book ISBNs |
978-3-31-921379-8, 978-3-31-921380-4
|
Authors |
Alan Mishler, Erin Smith Crabb, Susannah Paletz, Brook Hefright, Ewa Golonka |
Editors |
Constantine Stephanidis |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 17% |
Student > Ph. D. Student | 9 | 16% |
Student > Master | 8 | 14% |
Student > Doctoral Student | 3 | 5% |
Student > Bachelor | 3 | 5% |
Other | 6 | 10% |
Unknown | 19 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 22% |
Social Sciences | 10 | 17% |
Economics, Econometrics and Finance | 5 | 9% |
Business, Management and Accounting | 2 | 3% |
Arts and Humanities | 2 | 3% |
Other | 5 | 9% |
Unknown | 21 | 36% |