The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Title |
Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches
|
---|---|
Published in |
Advances in Operations Research, March 2019
|
DOI | 10.1155/2019/1974794 |
Authors |
R. Y. Goh, L. S. Lee |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 108 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 8% |
Student > Ph. D. Student | 8 | 7% |
Professor > Associate Professor | 6 | 6% |
Student > Bachelor | 5 | 5% |
Lecturer | 5 | 5% |
Other | 15 | 14% |
Unknown | 60 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 16% |
Business, Management and Accounting | 10 | 9% |
Engineering | 5 | 5% |
Arts and Humanities | 4 | 4% |
Mathematics | 3 | 3% |
Other | 8 | 7% |
Unknown | 61 | 56% |