You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Title |
Evolutionary Computation and Complex Networks
|
---|---|
Published by |
Springer, October 2017
|
DOI | 10.1007/978-3-319-60000-0 |
ISBNs |
978-3-31-960000-0, 978-3-31-959998-4
|
Authors |
Liu, Jing, Abbass, Hussein A., Tan, Kay Chen |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 19% |
Student > Doctoral Student | 3 | 14% |
Professor | 2 | 10% |
Researcher | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Other | 3 | 14% |
Unknown | 5 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 38% |
Arts and Humanities | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Earth and Planetary Sciences | 1 | 5% |
Social Sciences | 1 | 5% |
Other | 2 | 10% |
Unknown | 7 | 33% |