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Mendeley readers
| Title |
Soft Computing for Knowledge Discovery and Data Mining
|
|---|---|
| Published by |
Springer US, November 2007
|
| DOI | 10.1007/978-0-387-69935-6 |
| ISBNs |
978-0-387-69934-9, 978-1-4419-4351-4, 978-0-387-69935-6
|
| Editors |
Maimon, Oded, Rokach, Lior |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Turkey | 1 | 1% |
| Australia | 1 | 1% |
| Romania | 1 | 1% |
| Unknown | 95 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 29% |
| Student > Master | 15 | 15% |
| Student > Doctoral Student | 11 | 11% |
| Student > Bachelor | 8 | 8% |
| Researcher | 5 | 5% |
| Other | 20 | 20% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 53 | 53% |
| Engineering | 12 | 12% |
| Business, Management and Accounting | 3 | 3% |
| Social Sciences | 3 | 3% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 16 | 16% |