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Mendeley readers
Chapter title |
Scalable Random Forests for Massive Data
|
---|---|
Chapter number | 12 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, May 2012
|
DOI | 10.1007/978-3-642-30217-6_12 |
Book ISBNs |
978-3-64-230216-9, 978-3-64-230217-6
|
Authors |
Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng, Li, Bingguo, Chen, Xiaojun, Li, Mark Junjie, Huang, Joshua Zhexue, Feng, Shengzhong |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 4% |
Unknown | 22 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 26% |
Student > Master | 5 | 22% |
Student > Doctoral Student | 3 | 13% |
Lecturer | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 4 | 17% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 65% |
Unspecified | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Engineering | 1 | 4% |
Unknown | 5 | 22% |