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X Demographics
Mendeley readers
| Title |
Factorial Network Models to Improve P2P Credit Risk Management
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, June 2019
|
| DOI | 10.3389/frai.2019.00008 |
| Pubmed ID | |
| Authors |
Daniel Felix Ahelegbey, Paolo Giudici, Branka Hadji-Misheva |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 10% |
| Student > Doctoral Student | 5 | 10% |
| Student > Master | 5 | 10% |
| Lecturer | 4 | 8% |
| Researcher | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 25 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 10 | 20% |
| Economics, Econometrics and Finance | 6 | 12% |
| Computer Science | 4 | 8% |
| Engineering | 3 | 6% |
| Mathematics | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 25 | 49% |