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Timeline
X Demographics
Mendeley readers
| Title |
Artificial Intelligence (AI) in the Financial Sector—Potential and Public Strategies
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2019
|
| DOI | 10.3389/frai.2019.00016 |
| Pubmed ID | |
| Authors |
Stephan Bredt |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 156 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 7% |
| Student > Ph. D. Student | 10 | 6% |
| Student > Bachelor | 9 | 6% |
| Student > Doctoral Student | 6 | 4% |
| Researcher | 5 | 3% |
| Other | 18 | 12% |
| Unknown | 97 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 20 | 13% |
| Computer Science | 10 | 6% |
| Engineering | 7 | 4% |
| Economics, Econometrics and Finance | 6 | 4% |
| Unspecified | 4 | 3% |
| Other | 12 | 8% |
| Unknown | 97 | 62% |