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Mendeley readers
| Title |
Predictive Analytics, Data Mining and Big Data
|
|---|---|
| Published by |
Palgrave Macmillan UK, July 2014
|
| DOI | 10.1057/9781137379283 |
| ISBNs |
978-1-137-37927-6, 978-1-349-47868-2, 978-1-137-37928-3, 978-1-137-37929-0
|
| Authors |
Finlay, S., Finlay, Steven |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 25% |
| Student > Bachelor | 21 | 16% |
| Student > Ph. D. Student | 13 | 10% |
| Researcher | 10 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 16 | 12% |
| Unknown | 29 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 35 | 27% |
| Business, Management and Accounting | 23 | 18% |
| Engineering | 14 | 11% |
| Social Sciences | 5 | 4% |
| Economics, Econometrics and Finance | 4 | 3% |
| Other | 16 | 12% |
| Unknown | 32 | 25% |