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RNAstructure: software for RNA secondary structure prediction and analysis

Overview of attention for article published in BMC Bioinformatics, March 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
738 Dimensions

Readers on

mendeley
536 Mendeley
citeulike
11 CiteULike
connotea
2 Connotea
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Title
RNAstructure: software for RNA secondary structure prediction and analysis
Published in
BMC Bioinformatics, March 2010
DOI 10.1186/1471-2105-11-129
Pubmed ID
Authors

Jessica S Reuter, David H Mathews

Abstract

To understand an RNA sequence's mechanism of action, the structure must be known. Furthermore, target RNA structure is an important consideration in the design of small interfering RNAs and antisense DNA oligonucleotides. RNA secondary structure prediction, using thermodynamics, can be used to develop hypotheses about the structure of an RNA sequence.

Mendeley readers

The data shown below were compiled from readership statistics for 536 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
France 7 1%
Brazil 4 <1%
Germany 3 <1%
India 3 <1%
Malaysia 2 <1%
Belgium 2 <1%
Spain 2 <1%
Canada 2 <1%
Other 10 2%
Unknown 493 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 163 30%
Researcher 121 23%
Student > Master 67 13%
Student > Bachelor 56 10%
Unspecified 31 6%
Other 98 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 230 43%
Biochemistry, Genetics and Molecular Biology 134 25%
Unspecified 44 8%
Computer Science 31 6%
Chemistry 29 5%
Other 68 13%

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 08 November 2017.
All research outputs
#2,065,537
of 12,109,122 outputs
Outputs from BMC Bioinformatics
#950
of 4,409 outputs
Outputs of similar age
#55,359
of 276,880 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 156 outputs
Altmetric has tracked 12,109,122 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,409 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 77% 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 276,880 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.