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Mendeley readers
| Title |
Nature-Inspired Algorithms and Applied Optimization
|
|---|---|
| Published by |
Springer International Publishing, October 2017
|
| DOI | 10.1007/978-3-319-67669-2 |
| ISBNs |
978-3-31-967668-5, 978-3-31-967669-2
|
| Editors |
Yang, Xin-She |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 23% |
| Student > Ph. D. Student | 15 | 19% |
| Student > Bachelor | 13 | 17% |
| Student > Doctoral Student | 7 | 9% |
| Researcher | 5 | 6% |
| Other | 13 | 17% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 38% |
| Engineering | 25 | 32% |
| Agricultural and Biological Sciences | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 5 | 6% |
| Unknown | 12 | 16% |