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Mendeley readers
Chapter title |
DyPerm: Maximizing Permanence for Dynamic Community Detection
|
---|---|
Chapter number | 35 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-93034-3_35 |
Book ISBNs |
978-3-31-993033-6, 978-3-31-993034-3
|
Authors |
Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty, Agarwal, Prerna, Verma, Richa, Agarwal, Ayush, Chakraborty, Tanmoy |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 31% |
Student > Master | 4 | 15% |
Lecturer | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Professor > Associate Professor | 2 | 8% |
Other | 3 | 12% |
Unknown | 5 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 54% |
Unspecified | 1 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Arts and Humanities | 1 | 4% |
Mathematics | 1 | 4% |
Other | 3 | 12% |
Unknown | 5 | 19% |