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Mendeley readers
| Title |
Feasibility analysis of machine learning for performance-related attributional statements
|
|---|---|
| Published in |
International Journal of Accounting Information Systems, March 2023
|
| DOI | 10.1016/j.accinf.2022.100597 |
| Authors |
Anil Berkin, Walter Aerts, Tom Van Caneghem |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 3 | 9% |
| Student > Master | 3 | 9% |
| Lecturer | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 7 | 22% |
| Unknown | 11 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 13 | 41% |
| Unspecified | 2 | 6% |
| Computer Science | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 38% |