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Mendeley readers
Title |
Complete probabilistic analysis of RNA shapes
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Published in |
BMC Biology, February 2006
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DOI | 10.1186/1741-7007-4-5 |
Pubmed ID | |
Authors |
Björn Voß, Robert Giegerich, Marc Rehmsmeier |
Abstract |
Soon after the first algorithms for RNA folding became available, it was recognised that the prediction of only one energetically optimal structure is insufficient to achieve reliable results. An in-depth analysis of the folding space as a whole appeared necessary to deduce the structural properties of a given RNA molecule reliably. Folding space analysis comprises various methods such as suboptimal folding, computation of base pair probabilities, sampling procedures and abstract shape analysis. Common to many approaches is the idea of partitioning the folding space into classes of structures, for which certain properties can be derived. |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 4% |
United States | 2 | 4% |
Germany | 1 | 2% |
Unknown | 50 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 31% |
Student > Ph. D. Student | 14 | 25% |
Professor | 7 | 13% |
Student > Master | 5 | 9% |
Professor > Associate Professor | 4 | 7% |
Other | 5 | 9% |
Unknown | 3 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 49% |
Computer Science | 12 | 22% |
Biochemistry, Genetics and Molecular Biology | 6 | 11% |
Physics and Astronomy | 2 | 4% |
Chemistry | 2 | 4% |
Other | 3 | 5% |
Unknown | 3 | 5% |