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Mendeley readers
Chapter title |
TweetSemMiner: A Meta-Topic Identification Model for Twitter Using Semantic Analysis
|
---|---|
Chapter number | 9 |
Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2014
|
Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-10840-7_9 |
Book ISBNs |
978-3-31-910839-1, 978-3-31-910840-7
|
Authors |
Héctor D. Menéndez, Carlos Delgado-Calle, David Camacho |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 9% |
Malaysia | 1 | 9% |
Unknown | 9 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 3 | 27% |
Student > Doctoral Student | 2 | 18% |
Librarian | 1 | 9% |
Lecturer | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Other | 2 | 18% |
Unknown | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 55% |
Business, Management and Accounting | 1 | 9% |
Decision Sciences | 1 | 9% |
Medicine and Dentistry | 1 | 9% |
Unknown | 2 | 18% |