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 |
Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees
|
---|---|
Chapter number | 32 |
Book title |
Machine Learning: ECML 2006
|
Published by |
Springer, Berlin, Heidelberg, September 2006
|
DOI | 10.1007/11871842_32 |
Book ISBNs |
978-3-54-045375-8, 978-3-54-046056-5
|
Authors |
Alessandro Moschitti, Moschitti, Alessandro |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 3% |
United States | 3 | 3% |
United Kingdom | 2 | 2% |
China | 2 | 2% |
Italy | 1 | <1% |
Brazil | 1 | <1% |
Turkey | 1 | <1% |
Portugal | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 97 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 37% |
Student > Master | 26 | 23% |
Researcher | 11 | 10% |
Other | 5 | 4% |
Student > Bachelor | 4 | 4% |
Other | 14 | 12% |
Unknown | 11 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 78 | 69% |
Linguistics | 7 | 6% |
Engineering | 7 | 6% |
Chemistry | 2 | 2% |
Psychology | 1 | <1% |
Other | 3 | 3% |
Unknown | 15 | 13% |