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X Demographics
Mendeley readers
Chapter title |
Smart Meter Data Analysis for Power Theft Detection
|
---|---|
Chapter number | 29 |
Book title |
Machine Learning and Data Mining in Pattern Recognition
|
Published by |
Springer, Berlin, Heidelberg, July 2013
|
DOI | 10.1007/978-3-642-39712-7_29 |
Book ISBNs |
978-3-64-239711-0, 978-3-64-239712-7
|
Authors |
Daniel Nikolaev Nikovski, Zhenhua Wang, Alan Esenther, Hongbo Sun, Keisuke Sugiura, Toru Muso, Kaoru Tsuru, Nikovski, Daniel Nikolaev, Wang, Zhenhua, Esenther, Alan, Sun, Hongbo, Sugiura, Keisuke, Muso, Toru, Tsuru, Kaoru |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Nigeria | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Unknown | 77 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 23% |
Student > Master | 7 | 9% |
Researcher | 6 | 8% |
Student > Bachelor | 6 | 8% |
Lecturer | 5 | 6% |
Other | 13 | 17% |
Unknown | 23 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 21 | 27% |
Computer Science | 18 | 23% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
Mathematics | 1 | 1% |
Unspecified | 1 | 1% |
Other | 4 | 5% |
Unknown | 32 | 41% |