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Mendeley readers
| Chapter title |
Beyond the EULA: Improving Consent for Data Mining
|
|---|---|
| Chapter number | 7 |
| Book title |
Transparent Data Mining for Big and Small Data
|
| Published by |
Springer International Publishing, May 2017
|
| DOI | 10.1007/978-3-319-54024-5_7 |
| Book ISBNs |
978-3-31-954023-8, 978-3-31-954024-5
|
| Authors |
Hutton, Luke, Henderson, Tristan, Luke Hutton, Tristan Henderson |
| Editors |
Tania Cerquitelli, Daniele Quercia, Frank Pasquale |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Luxembourg | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 13% |
| Lecturer | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 23% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 32% |
| Social Sciences | 5 | 16% |
| Unspecified | 2 | 6% |
| Design | 2 | 6% |
| Decision Sciences | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 26% |