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Mendeley readers
Chapter title |
The Feature Importance Ranking Measure
|
---|---|
Chapter number | 45 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Berlin, Heidelberg, September 2009
|
DOI | 10.1007/978-3-642-04174-7_45 |
Book ISBNs |
978-3-64-204173-0, 978-3-64-204174-7
|
Authors |
Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 1% |
China | 2 | 1% |
Denmark | 1 | <1% |
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 153 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 22% |
Student > Master | 30 | 19% |
Researcher | 14 | 9% |
Other | 10 | 6% |
Professor | 7 | 4% |
Other | 23 | 14% |
Unknown | 41 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 65 | 40% |
Engineering | 13 | 8% |
Mathematics | 9 | 6% |
Earth and Planetary Sciences | 5 | 3% |
Linguistics | 5 | 3% |
Other | 18 | 11% |
Unknown | 46 | 29% |