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Mendeley readers
Title |
Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2019
|
DOI | 10.3389/frai.2019.00003 |
Pubmed ID | |
Authors |
Paolo Giudici, Branka Hadji-Misheva, Alessandro Spelta |
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 % |
---|---|---|
Unknown | 93 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 12 | 13% |
Lecturer | 10 | 11% |
Student > Master | 10 | 11% |
Student > Ph. D. Student | 7 | 8% |
Researcher | 5 | 5% |
Other | 11 | 12% |
Unknown | 38 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 14 | 15% |
Unspecified | 12 | 13% |
Economics, Econometrics and Finance | 9 | 10% |
Computer Science | 9 | 10% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 8 | 9% |
Unknown | 39 | 42% |