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Mendeley readers
Chapter title |
Efficient Clustering of Very Large Document Collections
|
---|---|
Chapter number | 20 |
Book title |
Data Mining for Scientific and Engineering Applications
|
Published by |
Springer, Boston, MA, January 2001
|
DOI | 10.1007/978-1-4615-1733-7_20 |
Book ISBNs |
978-1-4020-0114-7, 978-1-4615-1733-7
|
Authors |
Inderjit S. Dhillon, James Fan, Yuqiang Guan, Dhillon, Inderjit S., Fan, James, Guan, Yuqiang |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 2% |
Turkey | 1 | 2% |
United Kingdom | 1 | 2% |
Denmark | 1 | 2% |
Spain | 1 | 2% |
United States | 1 | 2% |
Unknown | 59 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 26% |
Researcher | 8 | 12% |
Student > Master | 7 | 11% |
Student > Bachelor | 6 | 9% |
Other | 6 | 9% |
Other | 16 | 25% |
Unknown | 5 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 53 | 82% |
Engineering | 2 | 3% |
Arts and Humanities | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 2 | 3% |
Unknown | 5 | 8% |