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X Demographics
Mendeley readers
| Title |
Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2018
|
| DOI | 10.3389/frai.2018.00001 |
| Pubmed ID | |
| Authors |
Paolo Giudici |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 25% |
| India | 2 | 17% |
| United Kingdom | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Unknown | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 328 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 13% |
| Student > Ph. D. Student | 26 | 8% |
| Student > Bachelor | 25 | 8% |
| Lecturer | 18 | 5% |
| Student > Doctoral Student | 13 | 4% |
| Other | 43 | 13% |
| Unknown | 161 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 54 | 16% |
| Economics, Econometrics and Finance | 43 | 13% |
| Computer Science | 19 | 6% |
| Social Sciences | 10 | 3% |
| Engineering | 9 | 3% |
| Other | 29 | 9% |
| Unknown | 164 | 50% |