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Mendeley readers
Chapter title |
Cross-Language Information Retrieval with Latent Topic Models Trained on a Comparable Corpus
|
---|---|
Chapter number | 4 |
Book title |
Information Retrieval Technology
|
Published in |
Lecture notes in computer science, January 2011
|
DOI | 10.1007/978-3-642-25631-8_4 |
Book ISBNs |
978-3-64-225630-1, 978-3-64-225631-8
|
Authors |
Vulić, Ivan, De Smet, Wim, Moens, Marie-Francine, Ivan Vulić, Wim De Smet, Marie-Francine Moens |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 5% |
Germany | 1 | 5% |
Vietnam | 1 | 5% |
Egypt | 1 | 5% |
Unknown | 17 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 33% |
Student > Ph. D. Student | 6 | 29% |
Researcher | 5 | 24% |
Student > Bachelor | 1 | 5% |
Student > Postgraduate | 1 | 5% |
Other | 0 | 0% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 71% |
Social Sciences | 2 | 10% |
Linguistics | 1 | 5% |
Unknown | 3 | 14% |