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Mendeley readers
Chapter title |
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
|
---|---|
Chapter number | 84 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, April 2009
|
DOI | 10.1007/978-3-642-01307-2_84 |
Book ISBNs |
978-3-64-201306-5, 978-3-64-201307-2
|
Authors |
Ke Zhang, Marcus Hutter, Huidong Jin |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
India | 1 | <1% |
Italy | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 139 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 24% |
Student > Master | 28 | 20% |
Researcher | 15 | 10% |
Student > Bachelor | 8 | 6% |
Student > Doctoral Student | 6 | 4% |
Other | 19 | 13% |
Unknown | 32 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 58 | 41% |
Engineering | 23 | 16% |
Agricultural and Biological Sciences | 4 | 3% |
Earth and Planetary Sciences | 3 | 2% |
Environmental Science | 3 | 2% |
Other | 14 | 10% |
Unknown | 38 | 27% |