| Title |
Variations on RNA folding and alignment: lessons from Benasque
|
|---|---|
| Published in |
Journal of Mathematical Biology, July 2007
|
| DOI | 10.1007/s00285-007-0107-5 |
| Pubmed ID | |
| Authors |
Athanasius F. Bompfünewerer, Rolf Backofen, Stephan H. Bernhart, Jana Hertel, Ivo L. Hofacker, Peter F. Stadler, Sebastian Will |
| Abstract |
Dynamic programming algorithms solve many standard problems of RNA bioinformatics in polynomial time. In this contribution we discuss a series of variations on these standard methods that implement refined biophysical models, such as a restriction of RNA folding to canonical structures, and an extension of structural alignments to an explicit scoring of stacking propensities. Furthermore, we demonstrate that a local structural alignment can be employed for ncRNA gene finding. In this context we discuss scanning variants for folding and alignment algorithms. |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 3% |
| Germany | 2 | 3% |
| United States | 1 | 2% |
| Austria | 1 | 2% |
| Unknown | 60 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 32% |
| Researcher | 13 | 20% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Professor | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 41% |
| Biochemistry, Genetics and Molecular Biology | 14 | 21% |
| Computer Science | 7 | 11% |
| Immunology and Microbiology | 2 | 3% |
| Physics and Astronomy | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 8 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 October 2018.
All research outputs
#4,696,673
of 22,789,076 outputs
Outputs from Journal of Mathematical Biology
#87
of 655 outputs
Outputs of similar age
#13,070
of 68,451 outputs
Outputs of similar age from Journal of Mathematical Biology
#1
of 3 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 655 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 68,451 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them