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Mendeley readers
| Title |
Mathematical Tools for Data Mining
|
|---|---|
| Published by |
Springer London, August 2008
|
| DOI | 10.1007/978-1-84800-201-2 |
| ISBNs |
978-1-84800-200-5, 978-1-84800-201-2
|
| Authors |
Simovici, Dan A., Djeraba, Chabane |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | 3% |
| Turkey | 1 | 1% |
| France | 1 | 1% |
| Cuba | 1 | 1% |
| Austria | 1 | 1% |
| Brazil | 1 | 1% |
| Mexico | 1 | 1% |
| Russia | 1 | 1% |
| Unknown | 69 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 26% |
| Student > Master | 12 | 15% |
| Student > Bachelor | 9 | 12% |
| Researcher | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 41% |
| Engineering | 11 | 14% |
| Mathematics | 5 | 6% |
| Earth and Planetary Sciences | 4 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 12 | 15% |
| Unknown | 12 | 15% |