| Title |
Data-driven analysis of Bitcoin properties: exploiting the users graph
|
|---|---|
| Published in |
International Journal of Data Science and Analytics, September 2017
|
| DOI | 10.1007/s41060-017-0074-x |
| Authors |
Damiano Di Francesco Maesa, Andrea Marino, Laura Ricci |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 13% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 6 | 8% |
| Professor | 5 | 6% |
| Other | 17 | 22% |
| Unknown | 25 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 30% |
| Business, Management and Accounting | 9 | 11% |
| Economics, Econometrics and Finance | 5 | 6% |
| Engineering | 2 | 3% |
| Mathematics | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 34 | 43% |