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Mendeley readers
| Title |
Descriptive Data Mining
|
|---|---|
| Published by |
Springer, Singapore, January 2017
|
| DOI | 10.1007/978-981-10-3340-7 |
| ISBNs |
978-9-81-103339-1, 978-9-81-103340-7
|
| Authors |
David L. Olson, Olson, David L. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 33% |
| Unspecified | 8 | 19% |
| Student > Bachelor | 6 | 14% |
| Student > Postgraduate | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Other | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 30% |
| Engineering | 10 | 23% |
| Unspecified | 9 | 21% |
| Business, Management and Accounting | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 5 | 12% |