↓ Skip to main content

Asymptotic structural properties of quasi-random saturated structures of RNA

Overview of attention for article published in Algorithms for Molecular Biology, October 2013
Altmetric Badge

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Asymptotic structural properties of quasi-random saturated structures of RNA
Published in
Algorithms for Molecular Biology, October 2013
DOI 10.1186/1748-7188-8-24
Pubmed ID
Authors

Peter Clote, Evangelos Kranakis, Danny Krizanc

Abstract

RNA folding depends on the distribution of kinetic traps in the landscape of all secondary structures. Kinetic traps in the Nussinov energy model are precisely those secondary structures that are saturated, meaning that no base pair can be added without introducing either a pseudoknot or base triple. In previous work, we investigated asymptotic combinatorics of both random saturated structures and of quasi-random saturated structures, where the latter are constructed by a natural stochastic process.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Doctoral Student 1 20%
Professor > Associate Professor 1 20%
Unspecified 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Unspecified 1 20%
Computer Science 1 20%
Agricultural and Biological Sciences 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 November 2013.
All research outputs
#9,880,728
of 12,378,087 outputs
Outputs from Algorithms for Molecular Biology
#120
of 181 outputs
Outputs of similar age
#115,212
of 170,713 outputs
Outputs of similar age from Algorithms for Molecular Biology
#4
of 5 outputs
Altmetric has tracked 12,378,087 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 181 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 170,713 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
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.