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Mendeley readers
| Chapter title |
Data and Analytics Framework. How Public Sector Can Profit from Its Immense Asset, Data
|
|---|---|
| Chapter number | 1 |
| Book title |
Traffic Mining Applied to Police Activities
|
| Published by |
Springer, Cham, October 2017
|
| DOI | 10.1007/978-3-319-75608-0_1 |
| Book ISBNs |
978-3-31-975607-3, 978-3-31-975608-0
|
| Authors |
Raffaele Lillo, Lillo, Raffaele |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 24% |
| Student > Ph. D. Student | 5 | 15% |
| Researcher | 4 | 12% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 35% |
| Social Sciences | 5 | 15% |
| Engineering | 3 | 9% |
| Business, Management and Accounting | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 7 | 21% |