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Mendeley readers
Chapter title |
Bayesian Mixed Membership Models for Soft Clustering and Classification
|
---|---|
Chapter number | 2 |
Book title |
Classification — the Ubiquitous Challenge
|
Published by |
Springer, Berlin, Heidelberg, January 2005
|
DOI | 10.1007/3-540-28084-7_2 |
Book ISBNs |
978-3-54-025677-9, 978-3-54-028084-2
|
Authors |
Elena A. Erosheva, Stephen E. Fienberg, Erosheva, Elena A., Fienberg, Stephen E. |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 6% |
Australia | 2 | 6% |
China | 1 | 3% |
Unknown | 27 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 28% |
Researcher | 7 | 22% |
Student > Doctoral Student | 4 | 13% |
Professor | 4 | 13% |
Professor > Associate Professor | 3 | 9% |
Other | 4 | 13% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 50% |
Mathematics | 3 | 9% |
Business, Management and Accounting | 3 | 9% |
Agricultural and Biological Sciences | 2 | 6% |
Social Sciences | 2 | 6% |
Other | 4 | 13% |
Unknown | 2 | 6% |