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X Demographics
Mendeley readers
Title |
A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods
|
---|---|
Published in |
Frontiers in Artificial Intelligence, November 2021
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DOI | 10.3389/frai.2021.717899 |
Pubmed ID | |
Authors |
Giulia Vilone, Luca Longo |
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 15% |
Student > Ph. D. Student | 3 | 15% |
Researcher | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 9 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 30% |
Engineering | 2 | 10% |
Economics, Econometrics and Finance | 1 | 5% |
Business, Management and Accounting | 1 | 5% |
Materials Science | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 40% |