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Mendeley readers
Chapter title |
A Graph-Based Approach to Topic Clustering for Online Comments to News
|
---|---|
Chapter number | 2 |
Book title |
Advances in Information Retrieval
|
Published in |
Lecture notes in computer science, March 2016
|
DOI | 10.1007/978-3-319-30671-1_2 |
Book ISBNs |
978-3-31-930670-4, 978-3-31-930671-1
|
Authors |
Ahmet Aker, Emina Kurtic, A. R. Balamurali, Monica Paramita, Emma Barker, Mark Hepple, Rob Gaizauskas |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 5% |
Unknown | 18 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 21% |
Researcher | 3 | 16% |
Student > Bachelor | 2 | 11% |
Other | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Other | 4 | 21% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 37% |
Engineering | 3 | 16% |
Mathematics | 2 | 11% |
Business, Management and Accounting | 2 | 11% |
Linguistics | 1 | 5% |
Other | 2 | 11% |
Unknown | 2 | 11% |