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Mendeley readers
| Chapter title |
The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good
|
|---|---|
| Chapter number | 1 |
| Book title |
Transparent Data Mining for Big and Small Data
|
| Published by |
Springer International Publishing, January 2017
|
| DOI | 10.1007/978-3-319-54024-5_1 |
| Book ISBNs |
978-3-31-954023-8, 978-3-31-954024-5
|
| Authors |
Bruno Lepri, Jacopo Staiano, David Sangokoya, Emmanuel Letouzé, Nuria Oliver |
| Editors |
Tania Cerquitelli, Daniele Quercia, Frank Pasquale |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Germany | 1 | <1% |
| Luxembourg | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 164 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 30 | 18% |
| Student > Ph. D. Student | 29 | 17% |
| Researcher | 22 | 13% |
| Student > Bachelor | 13 | 8% |
| Other | 9 | 5% |
| Other | 25 | 15% |
| Unknown | 40 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 35 | 21% |
| Computer Science | 31 | 18% |
| Business, Management and Accounting | 13 | 8% |
| Engineering | 10 | 6% |
| Economics, Econometrics and Finance | 7 | 4% |
| Other | 29 | 17% |
| Unknown | 43 | 26% |