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Timeline
X Demographics
Mendeley readers
| Title |
Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, March 2022
|
| DOI | 10.3389/frai.2022.827584 |
| Pubmed ID | |
| Authors |
Jurgita Černevičienė, Audrius Kabašinskas |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 10% |
| Lecturer | 7 | 7% |
| Student > Master | 7 | 7% |
| Researcher | 6 | 6% |
| Other | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 53 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 11% |
| Business, Management and Accounting | 9 | 9% |
| Engineering | 6 | 6% |
| Economics, Econometrics and Finance | 4 | 4% |
| Unspecified | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 58 | 58% |