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Mendeley readers
Chapter title |
Sentiment Analysis for Tracking Breaking Events: A Case Study on Twitter
|
---|---|
Chapter number | 30 |
Book title |
Intelligent Information and Database Systems
|
Published by |
Springer, Berlin, Heidelberg, March 2013
|
DOI | 10.1007/978-3-642-36543-0_30 |
Book ISBNs |
978-3-64-236542-3, 978-3-64-236543-0
|
Authors |
Dongjin Choi, Pankoo Kim |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
Switzerland | 1 | 4% |
Unknown | 24 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 23% |
Student > Master | 5 | 19% |
Researcher | 4 | 15% |
Student > Postgraduate | 2 | 8% |
Other | 2 | 8% |
Other | 3 | 12% |
Unknown | 4 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 50% |
Environmental Science | 3 | 12% |
Business, Management and Accounting | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Psychology | 1 | 4% |
Other | 3 | 12% |
Unknown | 4 | 15% |