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Mendeley readers
| Chapter title |
Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization
|
|---|---|
| Chapter number | 8 |
| Book title |
Big Data Analytics in the Social and Ubiquitous Context
|
| Published by |
Springer, Cham, April 2014
|
| DOI | 10.1007/978-3-319-29009-6_8 |
| Book ISBNs |
978-3-31-929008-9, 978-3-31-929009-6
|
| Authors |
Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari, Poussevin, Mickaël, Tonnelier, Emeric, Baskiotis, Nicolas, Guigue, Vincent, Gallinari, Patrick |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 6% |
| Spain | 1 | 3% |
| France | 1 | 3% |
| Unknown | 31 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 8 | 23% |
| Professor > Associate Professor | 5 | 14% |
| Professor | 3 | 9% |
| Other | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 57% |
| Engineering | 4 | 11% |
| Psychology | 1 | 3% |
| Social Sciences | 1 | 3% |
| Design | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 23% |