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http://dx.doi.org/10.5808/GI.2011.9.1.037

ManBIF: a Program for Mining and Managing Biobank Impact Factor Data  

Yu, Ki-Jin (Division of Bio-Medical Informatics, Center for Genome Science, National Institute of Health)
Nam, Jung-Min (Division of Korea BioBank, Center for Genome Science, National Institute of Health)
Her, Yun (Division of Korea BioBank, Center for Genome Science, National Institute of Health)
Chu, Min-Seock (Division of Korea BioBank, Center for Genome Science, National Institute of Health)
Seo, Hyung-Seok (Division of Korea BioBank, Center for Genome Science, National Institute of Health)
Kim, Jun-Woo (Division of Korea BioBank, Center for Genome Science, National Institute of Health)
Jeon, Jae-Pil (Division of Korea BioBank, Center for Genome Science, National Institute of Health)
Park, Hye-Kyung (Division of Korea BioBank, Center for Genome Science, National Institute of Health)
Park, Kie-Jung (Division of Bio-Medical Informatics, Center for Genome Science, National Institute of Health)
Publication Information
Genomics & Informatics / v.9, no.1, 2011 , pp. 37-38 More about this Journal
Abstract
Biobank Impact Factor (BIF), which is a very effective criterion to evaluate the activity of biobanks, can be estimated by the citation information of biobanks from scientific papers. We have developed a program, ManBIF, to investigate the citation information from PDF files in the literature. The program manages a dictionary for expressions to represent biobanks and their resources, mines the citation information by converting PDF files to text files and searching with a dictionary, and produces a statistical report file. It can be used as an important tool by biobanks.
Keywords
biobank; Biobank Impact Factor Data;
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