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Chapter title |
A Kernel-Based Framework for Medical Big-Data Analytics
|
---|---|
Chapter number | 11 |
Book title |
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
|
Published by |
Springer Berlin Heidelberg, January 2014
|
DOI | 10.1007/978-3-662-43968-5_11 |
Book ISBNs |
978-3-66-243967-8, 978-3-66-243968-5, 978-3-66-243967-8, 978-3-66-243968-5
|
Authors |
David Windridge, Miroslaw Bober |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 4% |
Germany | 1 | 4% |
Unknown | 22 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 25% |
Student > Master | 4 | 17% |
Professor | 3 | 13% |
Researcher | 3 | 13% |
Student > Doctoral Student | 2 | 8% |
Other | 4 | 17% |
Unknown | 2 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 46% |
Mathematics | 3 | 13% |
Engineering | 3 | 13% |
Medicine and Dentistry | 2 | 8% |
Business, Management and Accounting | 1 | 4% |
Other | 0 | 0% |
Unknown | 4 | 17% |