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| Title |
Machine Learning for Auditors
|
|---|---|
| Published by |
Apress, January 2022
|
| DOI | 10.1007/978-1-4842-8051-5 |
| ISBNs |
978-1-4842-8050-8, 978-1-4842-8051-5
|
| Authors |
Maris Sekar, Sekar, Maris |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 50% |
| Switzerland | 1 | 25% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 8% |
| Lecturer | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 7 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 3 | 25% |
| Computer Science | 1 | 8% |
| Unknown | 8 | 67% |