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Mendeley readers
| Title |
Python Data Analytics
|
|---|---|
| Published by |
Apress, August 2015
|
| DOI | 10.1007/978-1-4842-0958-5 |
| ISBNs |
978-1-4842-0959-2, 978-1-4842-0958-5
|
| Authors |
Nelli, Fabio |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 211 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 14% |
| Student > Bachelor | 21 | 10% |
| Researcher | 15 | 7% |
| Student > Ph. D. Student | 14 | 7% |
| Lecturer | 10 | 5% |
| Other | 35 | 17% |
| Unknown | 87 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 19% |
| Engineering | 22 | 10% |
| Agricultural and Biological Sciences | 8 | 4% |
| Unspecified | 7 | 3% |
| Economics, Econometrics and Finance | 5 | 2% |
| Other | 36 | 17% |
| Unknown | 92 | 44% |