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Mendeley readers
| Chapter title |
Big Data in Finance
|
|---|---|
| Chapter number | 11 |
| Book title |
Big Data Concepts, Theories, and Applications
|
| Published by |
Springer, Cham, January 2016
|
| DOI | 10.1007/978-3-319-27763-9_11 |
| Book ISBNs |
978-3-31-927761-5, 978-3-31-927763-9
|
| Authors |
Bin Fang, Peng Zhang, Fang, Bin, Zhang, Peng |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| Unknown | 92 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 14% |
| Student > Bachelor | 10 | 11% |
| Student > Ph. D. Student | 8 | 9% |
| Researcher | 6 | 6% |
| Student > Doctoral Student | 4 | 4% |
| Other | 15 | 16% |
| Unknown | 37 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 22 | 24% |
| Computer Science | 18 | 19% |
| Economics, Econometrics and Finance | 9 | 10% |
| Social Sciences | 2 | 2% |
| Nursing and Health Professions | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 37 | 40% |