You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Thematic Clustering Methods Applied to News Texts Analysis
|
---|---|
Chapter number | 25 |
Book title |
Knowledge-Based Software Engineering
|
Published by |
Springer International Publishing, January 2014
|
DOI | 10.1007/978-3-319-11854-3_25 |
Book ISBNs |
978-3-31-911853-6, 978-3-31-911854-3
|
Authors |
Anastasia N. Soloshenko, Yulia A. Orlova, Vladimir L. Rozaliev, Alla V. Zaboleeva-Zotova |
Editors |
Alla Kravets, Maxim Shcherbakov, Marina Kultsova, Tadashi Iijima |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 50% |
Other | 1 | 25% |
Student > Doctoral Student | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 100% |