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Mendeley readers
| Title |
Lost in folding space? Comparing four variants of the thermodynamic model for RNA secondary structure prediction
|
|---|---|
| Published in |
BMC Bioinformatics, November 2011
|
| DOI | 10.1186/1471-2105-12-429 |
| Pubmed ID | |
| Authors |
Stefan Janssen, Christian Schudoma, Gerhard Steger, Robert Giegerich |
| Abstract |
Many bioinformatics tools for RNA secondary structure analysis are based on a thermodynamic model of RNA folding. They predict a single, "optimal" structure by free energy minimization, they enumerate near-optimal structures, they compute base pair probabilities and dot plots, representative structures of different abstract shapes, or Boltzmann probabilities of structures and shapes. Although all programs refer to the same physical model, they implement it with considerable variation for different tasks, and little is known about the effects of heuristic assumptions and model simplifications used by the programs on the outcome of the analysis. |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Canada | 2 | 3% |
| Turkey | 2 | 3% |
| France | 2 | 3% |
| Brazil | 2 | 3% |
| Colombia | 1 | 1% |
| Germany | 1 | 1% |
| United Kingdom | 1 | 1% |
| Denmark | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 59 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 24% |
| Researcher | 18 | 24% |
| Professor > Associate Professor | 8 | 11% |
| Student > Doctoral Student | 7 | 9% |
| Student > Master | 7 | 9% |
| Other | 11 | 15% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 58% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Computer Science | 6 | 8% |
| Mathematics | 2 | 3% |
| Physics and Astronomy | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 5 | 7% |