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Mendeley readers
Title |
PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes
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Published in |
Genome Biology, January 2010
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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
The data shown below were compiled from readership statistics for 192 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 | 177 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 54 | 28% |
Researcher | 45 | 23% |
Student > Master | 20 | 10% |
Professor | 13 | 7% |
Professor > Associate Professor | 10 | 5% |
Other | 33 | 17% |
Unknown | 17 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 94 | 49% |
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% |