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Mendeley readers
Chapter title |
Sparse Component Analysis: a New Tool for Data Mining
|
---|---|
Chapter number | 6 |
Book title |
Data Mining in Biomedicine
|
Published by |
Springer, Boston, MA, January 2007
|
DOI | 10.1007/978-0-387-69319-4_6 |
Book ISBNs |
978-0-387-69318-7, 978-0-387-69319-4
|
Authors |
Pando Georgiev, Fabian Theis, Andrzej Cichocki, Hovagim Bakardjian |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 1% |
Slovenia | 1 | 1% |
Japan | 1 | 1% |
Greece | 1 | 1% |
United States | 1 | 1% |
Unknown | 67 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 26% |
Researcher | 13 | 18% |
Student > Master | 9 | 13% |
Professor | 7 | 10% |
Student > Doctoral Student | 4 | 6% |
Other | 14 | 19% |
Unknown | 6 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 24 | 33% |
Computer Science | 15 | 21% |
Mathematics | 8 | 11% |
Agricultural and Biological Sciences | 7 | 10% |
Neuroscience | 3 | 4% |
Other | 8 | 11% |
Unknown | 7 | 10% |