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Mendeley readers
| Title |
Big Data Concepts, Theories, and Applications
|
|---|---|
| Published by |
Springer International Publishing, March 2016
|
| DOI | 10.1007/978-3-319-27763-9 |
| ISBNs |
978-3-31-927761-5, 978-3-31-927763-9
|
| Editors |
Yu, Shui, Guo, Song |
Mendeley readers
The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 224 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 55 | 24% |
| Student > Ph. D. Student | 38 | 17% |
| Student > Bachelor | 26 | 12% |
| Researcher | 17 | 8% |
| Lecturer | 10 | 4% |
| Other | 22 | 10% |
| Unknown | 58 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 79 | 35% |
| Business, Management and Accounting | 24 | 11% |
| Engineering | 15 | 7% |
| Economics, Econometrics and Finance | 12 | 5% |
| Agricultural and Biological Sciences | 5 | 2% |
| Other | 26 | 12% |
| Unknown | 65 | 29% |