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Mendeley readers
Title |
Detecting experimental techniques and selecting relevant documents for protein-protein interactions from biomedical literature
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Published in |
BMC Bioinformatics, October 2011
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DOI | 10.1186/1471-2105-12-s8-s11 |
Pubmed ID | |
Authors |
Xinglong Wang, Rafal Rak, Angelo Restificar, Chikashi Nobata, CJ Rupp, Riza Theresa B Batista-Navarro, Raheel Nawaz, Sophia Ananiadou |
Abstract |
The selection of relevant articles for curation, and linking those articles to experimental techniques confirming the findings became one of the primary subjects of the recent BioCreative III contest. The contest's Protein-Protein Interaction (PPI) task consisted of two sub-tasks: Article Classification Task (ACT) and Interaction Method Task (IMT). ACT aimed to automatically select relevant documents for PPI curation, whereas the goal of IMT was to recognise the methods used in experiments for identifying the interactions in full-text articles. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 6% |
Spain | 1 | 3% |
United States | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 30 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 26% |
Student > Master | 8 | 23% |
Researcher | 5 | 14% |
Professor | 3 | 9% |
Student > Bachelor | 2 | 6% |
Other | 5 | 14% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 37% |
Agricultural and Biological Sciences | 8 | 23% |
Social Sciences | 2 | 6% |
Mathematics | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Other | 4 | 11% |
Unknown | 6 | 17% |