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PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes

Overview of attention for article published in Genome Biology, January 2010
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Title
PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes
Published in
Genome Biology, January 2010
DOI 10.1186/gb-2010-11-1-r6
Pubmed ID
Authors

Andreas Ruepp, Andreas Kowarsch, Daniel Schmidl, Felix Buggenthin, Barbara Brauner, Irmtraud Dunger, Gisela Fobo, Goar Frishman, Corinna Montrone, Fabian J Theis

Abstract

In recent years, microRNAs have been shown to play important roles in physiological as well as malignant processes. The PhenomiR database http://mips.helmholtz-muenchen.de/phenomir provides data from 542 studies that investigate deregulation of microRNA expression in diseases and biological processes as a systematic, manually curated resource. Using the PhenomiR dataset, we could demonstrate that, depending on disease type, independent information from cell culture studies contrasts with conclusions drawn from patient studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 2 1%
Chile 1 <1%
Hong Kong 1 <1%
Brazil 1 <1%
Portugal 1 <1%
India 1 <1%
Sweden 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 175 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 28%
Researcher 45 24%
Student > Master 20 11%
Professor 11 6%
Professor > Associate Professor 10 5%
Other 33 17%
Unknown 17 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 48%
Biochemistry, Genetics and Molecular Biology 31 16%
Medicine and Dentistry 16 8%
Computer Science 12 6%
Psychology 3 2%
Other 13 7%
Unknown 23 12%