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Mendeley readers
Title |
Soft Computing for Data Mining Applications
|
---|---|
Published by |
Springer Berlin Heidelberg, February 2009
|
DOI | 10.1007/978-3-642-00193-2 |
ISBNs |
978-3-64-200192-5, 978-3-64-200193-2
|
Authors |
Venugopal, K. R., Srinivasa, K. G., Patnaik, L. M. |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Sweden | 1 | 2% |
Germany | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 40 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 23% |
Student > Ph. D. Student | 9 | 20% |
Student > Bachelor | 5 | 11% |
Student > Doctoral Student | 3 | 7% |
Professor | 3 | 7% |
Other | 6 | 14% |
Unknown | 8 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 52% |
Business, Management and Accounting | 3 | 7% |
Engineering | 3 | 7% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Other | 3 | 7% |
Unknown | 8 | 18% |