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Mendeley readers
| Chapter title |
iSCUR: Interest and Sentiment-Based Community Detection for User Recommendation on Twitter
|
|---|---|
| Chapter number | 27 |
| Book title |
User Modeling, Adaptation, and Personalization
|
| Published in |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-319-08786-3_27 |
| Book ISBNs |
978-3-31-908785-6, 978-3-31-908786-3
|
| Authors |
Davide Feltoni Gurini, Fabio Gasparetti, Alessandro Micarelli, Giuseppe Sansonetti |
| Editors |
Vania Dimitrova, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, Geert-Jan Houben |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Professor > Associate Professor | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Professor | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 63% |
| Agricultural and Biological Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 7 | 29% |