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Mendeley readers
| Title |
Advances in Bio-inspired Computing for Combinatorial Optimization Problems
|
|---|---|
| Published by |
Springer-Verlag Berlin Heidelberg, January 2014
|
| DOI | 10.1007/978-3-642-40179-4 |
| ISBNs |
978-3-64-240179-4, 978-3-64-240178-7
|
| Authors |
Camelia-Mihaela Pintea, Pintea, Camelia-Mihaela |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 31% |
| Student > Ph. D. Student | 8 | 22% |
| Student > Doctoral Student | 4 | 11% |
| Lecturer | 2 | 6% |
| Other | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 47% |
| Engineering | 5 | 14% |
| Mathematics | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 7 | 19% |