Title |
Introducing meta-services for biomedical information extraction
|
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Published in |
Genome Biology, September 2008
|
DOI | 10.1186/gb-2008-9-s2-s6 |
Pubmed ID | |
Authors |
Florian Leitner, Martin Krallinger, Carlos Rodriguez-Penagos, Jörg Hakenberg, Conrad Plake, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hsi-Chuan Hung, William W Lau, Calvin A Johnson, Rune Sætre, Kazuhiro Yoshida, Yan Hua Chen, Sun Kim, Soo-Yong Shin, Byoung-Tak Zhang, William A Baumgartner, Lawrence Hunter, Barry Haddow, Michael Matthews, Xinglong Wang, Patrick Ruch, Frédéric Ehrler, Arzucan Özgür, Güneş Erkan, Dragomir R Radev, Michael Krauthammer, ThaiBinh Luong, Robert Hoffmann, Chris Sander, Alfonso Valencia |
Abstract |
We introduce the first meta-service for information extraction in molecular biology, the BioCreative MetaServer (BCMS; http://bcms.bioinfo.cnio.es/). This prototype platform is a joint effort of 13 research groups and provides automatically generated annotations for PubMed/Medline abstracts. Annotation types cover gene names, gene IDs, species, and protein-protein interactions. The annotations are distributed by the meta-server in both human and machine readable formats (HTML/XML). This service is intended to be used by biomedical researchers and database annotators, and in biomedical language processing. The platform allows direct comparison, unified access, and result aggregation of the annotations. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 10% |
Spain | 5 | 6% |
United Kingdom | 2 | 2% |
Netherlands | 1 | 1% |
France | 1 | 1% |
Sweden | 1 | 1% |
Canada | 1 | 1% |
Germany | 1 | 1% |
Denmark | 1 | 1% |
Other | 3 | 3% |
Unknown | 63 | 72% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 31 | 35% |
Student > Ph. D. Student | 16 | 18% |
Professor | 7 | 8% |
Other | 7 | 8% |
Professor > Associate Professor | 7 | 8% |
Other | 15 | 17% |
Unknown | 5 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 35 | 40% |
Computer Science | 27 | 31% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Linguistics | 3 | 3% |
Medicine and Dentistry | 3 | 3% |
Other | 6 | 7% |
Unknown | 11 | 13% |