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Mendeley readers
| Title |
Next Generation Data Technologies for Collective Computational Intelligence
|
|---|---|
| Published by |
Springer Science & Business Media, April 2011
|
| DOI | 10.1007/978-3-642-20344-2 |
| ISBNs |
978-3-64-220343-5, 978-3-64-220344-2
|
| Editors |
Nik Bessis, Fatos Xhafa |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 2 | 3% |
| Portugal | 1 | 2% |
| Netherlands | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 53 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 20% |
| Researcher | 10 | 17% |
| Student > Bachelor | 9 | 15% |
| Student > Ph. D. Student | 9 | 15% |
| Professor | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 55% |
| Engineering | 6 | 10% |
| Environmental Science | 3 | 5% |
| Business, Management and Accounting | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 6 | 10% |