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Mendeley readers
Title |
Credit Analysis Using Data Mining: Application in the Case of a Credit Union
|
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Published by |
TECSI, August 2014
|
DOI | 10.4301/s1807-17752014000200009 |
Authors |
Marcos de Moraes Sousa, Reginaldo Santana Figueiredo |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 71 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 20 | 28% |
Student > Bachelor | 11 | 15% |
Researcher | 8 | 11% |
Student > Doctoral Student | 6 | 8% |
Professor | 3 | 4% |
Other | 9 | 13% |
Unknown | 14 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 27% |
Business, Management and Accounting | 16 | 23% |
Economics, Econometrics and Finance | 5 | 7% |
Social Sciences | 4 | 6% |
Mathematics | 3 | 4% |
Other | 8 | 11% |
Unknown | 16 | 23% |