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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ViennaRNA Package 2.0
|
|---|---|
| Published in |
Algorithms for Molecular Biology, November 2011
|
| DOI | 10.1186/1748-7188-6-26 |
| Pubmed ID | |
| Authors |
Ronny Lorenz, Stephan H Bernhart, Christian Höner zu Siederdissen, Hakim Tafer, Christoph Flamm, Peter F Stadler, Ivo L Hofacker |
| Abstract |
Secondary structure forms an important intermediate level of description of nucleic acids that encapsulates the dominating part of the folding energy, is often well conserved in evolution, and is routinely used as a basis to explain experimental findings. Based on carefully measured thermodynamic parameters, exact dynamic programming algorithms can be used to compute ground states, base pairing probabilities, as well as thermodynamic properties. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 18% |
| Germany | 1 | 9% |
| Spain | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,047 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | <1% |
| Canada | 5 | <1% |
| France | 3 | <1% |
| Austria | 3 | <1% |
| Germany | 3 | <1% |
| Denmark | 3 | <1% |
| Colombia | 3 | <1% |
| Brazil | 3 | <1% |
| United Kingdom | 3 | <1% |
| Other | 21 | 1% |
| Unknown | 1988 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 535 | 26% |
| Researcher | 292 | 14% |
| Student > Master | 289 | 14% |
| Student > Bachelor | 215 | 11% |
| Student > Doctoral Student | 87 | 4% |
| Other | 223 | 11% |
| Unknown | 406 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 653 | 32% |
| Agricultural and Biological Sciences | 539 | 26% |
| Computer Science | 95 | 5% |
| Chemistry | 59 | 3% |
| Engineering | 41 | 2% |
| Other | 203 | 10% |
| Unknown | 457 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 19 March 2024.
All research outputs
#1,073,506
of 26,017,215 outputs
Outputs from Algorithms for Molecular Biology
#1
of 269 outputs
Outputs of similar age
#6,102
of 251,688 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 5 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 269 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% 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 251,688 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 5 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