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Mendeley readers
Chapter title |
Knowledge-Powered Deep Learning for Word Embedding
|
---|---|
Chapter number | 9 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer Berlin Heidelberg, January 2014
|
DOI | 10.1007/978-3-662-44848-9_9 |
Book ISBNs |
978-3-66-244847-2, 978-3-66-244848-9
|
Authors |
Jiang Bian, Bin Gao, Tie-Yan Liu |
Editors |
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
India | 2 | 1% |
China | 2 | 1% |
Spain | 2 | 1% |
United Kingdom | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Hong Kong | 1 | <1% |
Greece | 1 | <1% |
Japan | 1 | <1% |
Other | 0 | 0% |
Unknown | 167 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 52 | 29% |
Student > Master | 33 | 18% |
Researcher | 26 | 14% |
Student > Bachelor | 12 | 7% |
Other | 8 | 4% |
Other | 24 | 13% |
Unknown | 27 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 124 | 68% |
Engineering | 14 | 8% |
Linguistics | 4 | 2% |
Business, Management and Accounting | 3 | 2% |
Agricultural and Biological Sciences | 2 | 1% |
Other | 7 | 4% |
Unknown | 28 | 15% |