The data shown below were collected from the profiles of 50 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
| Title |
Explainable AI in Fintech Risk Management
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, April 2020
|
| DOI | 10.3389/frai.2020.00026 |
| Pubmed ID | |
| Authors |
Niklas Bussmann, Paolo Giudici, Dimitri Marinelli, Jochen Papenbrock |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 10% |
| United Kingdom | 3 | 6% |
| Mexico | 2 | 4% |
| India | 2 | 4% |
| Switzerland | 2 | 4% |
| Germany | 2 | 4% |
| France | 2 | 4% |
| Thailand | 1 | 2% |
| South Africa | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 24 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 86% |
| Scientists | 6 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 237 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 12% |
| Student > Master | 27 | 11% |
| Lecturer | 12 | 5% |
| Student > Bachelor | 11 | 5% |
| Professor > Associate Professor | 7 | 3% |
| Other | 26 | 11% |
| Unknown | 126 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 29 | 12% |
| Computer Science | 28 | 12% |
| Economics, Econometrics and Finance | 14 | 6% |
| Engineering | 10 | 4% |
| Unspecified | 4 | 2% |
| Other | 17 | 7% |
| Unknown | 135 | 57% |