Title |
U-Compare bio-event meta-service: compatible BioNLP event extraction services
|
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Published in |
BMC Bioinformatics, December 2011
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DOI | 10.1186/1471-2105-12-481 |
Pubmed ID | |
Authors |
Yoshinobu Kano, Jari Björne, Filip Ginter, Tapio Salakoski, Ekaterina Buyko, Udo Hahn, K Bretonnel Cohen, Karin Verspoor, Christophe Roeder, Lawrence E Hunter, Halil Kilicoglu, Sabine Bergler, Sofie Van Landeghem, Thomas Van Parys, Yves Van de Peer, Makoto Miwa, Sophia Ananiadou, Mariana Neves, Alberto Pascual-Montano, Arzucan Özgür, Dragomir R Radev, Sebastian Riedel, Rune Sætre, Hong-Woo Chun, Jin-Dong Kim, Sampo Pyysalo, Tomoko Ohta, Jun'ichi Tsujii |
Abstract |
Bio-molecular event extraction from literature is recognized as an important task of bio text mining and, as such, many relevant systems have been developed and made available during the last decade. While such systems provide useful services individually, there is a need for a meta-service to enable comparison and ensemble of such services, offering optimal solutions for various purposes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 4% |
France | 2 | 4% |
United States | 2 | 4% |
Spain | 2 | 4% |
United Kingdom | 2 | 4% |
Australia | 1 | 2% |
Brazil | 1 | 2% |
China | 1 | 2% |
Unknown | 36 | 73% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 20% |
Student > Ph. D. Student | 7 | 14% |
Professor > Associate Professor | 5 | 10% |
Student > Doctoral Student | 4 | 8% |
Student > Master | 4 | 8% |
Other | 13 | 27% |
Unknown | 6 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 24 | 49% |
Agricultural and Biological Sciences | 8 | 16% |
Mathematics | 2 | 4% |
Medicine and Dentistry | 2 | 4% |
Engineering | 2 | 4% |
Other | 4 | 8% |
Unknown | 7 | 14% |