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Mendeley readers
Chapter title |
Memetic Algorithms for Nurse Rostering
|
---|---|
Chapter number | 51 |
Book title |
Computer and Information Sciences - ISCIS 2005
|
Published by |
Springer, Berlin, Heidelberg, October 2005
|
DOI | 10.1007/11569596_51 |
Book ISBNs |
978-3-54-029414-6, 978-3-54-032085-2
|
Authors |
Ender Özcan, Özcan, Ender |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 2% |
United States | 1 | 2% |
Germany | 1 | 2% |
Unknown | 39 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 31% |
Student > Master | 8 | 19% |
Student > Doctoral Student | 4 | 10% |
Student > Bachelor | 4 | 10% |
Researcher | 3 | 7% |
Other | 7 | 17% |
Unknown | 3 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 38% |
Engineering | 9 | 21% |
Business, Management and Accounting | 8 | 19% |
Mathematics | 3 | 7% |
Medicine and Dentistry | 1 | 2% |
Other | 1 | 2% |
Unknown | 4 | 10% |