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Timeline
X Demographics
Mendeley readers
Chapter title |
Wikipedia Vandalism Detection: Combining Natural Language, Metadata, and Reputation Features
|
---|---|
Chapter number | 23 |
Book title |
Computational Linguistics and Intelligent Text Processing
|
Published by |
Springer, Berlin, Heidelberg, February 2011
|
DOI | 10.1007/978-3-642-19437-5_23 |
Pubmed ID | |
Book ISBNs |
978-3-64-219436-8, 978-3-64-219437-5
|
Authors |
B. Thomas Adler, Luca de Alfaro, Santiago M. Mola-Velasco, Paolo Rosso, Andrew G. West, Adler, B. Thomas, Alfaro, Luca, Mola-Velasco, Santiago M., Rosso, Paolo, West, Andrew G., de Alfaro, Luca |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 80% |
Japan | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 5% |
Germany | 2 | 2% |
United Kingdom | 2 | 2% |
Spain | 2 | 2% |
South Africa | 1 | <1% |
Israel | 1 | <1% |
Canada | 1 | <1% |
Australia | 1 | <1% |
Italy | 1 | <1% |
Other | 1 | <1% |
Unknown | 94 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 23 | 21% |
Researcher | 19 | 17% |
Student > Ph. D. Student | 19 | 17% |
Student > Bachelor | 17 | 15% |
Other | 6 | 5% |
Other | 13 | 12% |
Unknown | 14 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 63 | 57% |
Social Sciences | 12 | 11% |
Arts and Humanities | 5 | 5% |
Linguistics | 4 | 4% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 10 | 9% |
Unknown | 14 | 13% |