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Mendeley readers
Chapter title |
Spam Detection on Twitter Using Traditional Classifiers
|
---|---|
Chapter number | 13 |
Book title |
Autonomic and Trusted Computing
|
Published by |
Springer, Berlin, Heidelberg, September 2011
|
DOI | 10.1007/978-3-642-23496-5_13 |
Book ISBNs |
978-3-64-223495-8, 978-3-64-223496-5
|
Authors |
M. McCord, M. Chuah, McCord, M., Chuah, M. |
Mendeley readers
The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Switzerland | 1 | <1% |
Malaysia | 1 | <1% |
Ireland | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
China | 1 | <1% |
Unknown | 197 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 47 | 23% |
Student > Master | 47 | 23% |
Student > Bachelor | 19 | 9% |
Student > Doctoral Student | 11 | 5% |
Researcher | 10 | 5% |
Other | 30 | 15% |
Unknown | 40 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 134 | 66% |
Engineering | 7 | 3% |
Social Sciences | 5 | 2% |
Economics, Econometrics and Finance | 3 | 1% |
Business, Management and Accounting | 3 | 1% |
Other | 6 | 3% |
Unknown | 46 | 23% |