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
Chapter title |
Random-based scheduling new approximations and LP lower bounds
|
---|---|
Chapter number | 11 |
Book title |
Randomization and Approximation Techniques in Computer Science
|
Published by |
Springer, Berlin, Heidelberg, July 1997
|
DOI | 10.1007/3-540-63248-4_11 |
Book ISBNs |
978-3-54-063248-1, 978-3-54-069247-8
|
Authors |
Andreas S. Schulz, Martin Skutella |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 1 | 14% |
Unknown | 6 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 29% |
Professor | 1 | 14% |
Student > Doctoral Student | 1 | 14% |
Student > Master | 1 | 14% |
Professor > Associate Professor | 1 | 14% |
Other | 0 | 0% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Engineering | 2 | 29% |
Business, Management and Accounting | 1 | 14% |
Mathematics | 1 | 14% |