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X Demographics
Mendeley readers
| Title |
Facing the Challenges of Developing Fair Risk Scoring Models
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2021
|
| DOI | 10.3389/frai.2021.681915 |
| Pubmed ID | |
| Authors |
Gero Szepannek, Karsten Lübke |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| Egypt | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 23% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Bachelor | 3 | 10% |
| Lecturer | 2 | 7% |
| Unknown | 13 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 17% |
| Economics, Econometrics and Finance | 3 | 10% |
| Computer Science | 3 | 10% |
| Business, Management and Accounting | 2 | 7% |
| Mathematics | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 13 | 43% |