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X Demographics
Mendeley readers
| Title |
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, February 2023
|
| DOI | 10.3389/frai.2023.1099521 |
| Pubmed ID | |
| Authors |
Julian Tritscher, Anna Krause, Andreas Hotho |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 12% |
| Student > Master | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Bachelor | 1 | 6% |
| Unknown | 10 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 24% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 12% |
| Engineering | 2 | 12% |
| Economics, Econometrics and Finance | 1 | 6% |
| Unknown | 8 | 47% |