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Accurate multiple sequence-structure alignment of RNA sequences using combinatorial optimization

Overview of attention for article published in BMC Bioinformatics, July 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
240 Mendeley
citeulike
2 CiteULike
connotea
3 Connotea
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Title
Accurate multiple sequence-structure alignment of RNA sequences using combinatorial optimization
Published in
BMC Bioinformatics, July 2007
DOI 10.1186/1471-2105-8-271
Pubmed ID
Authors

Markus Bauer, Gunnar W Klau, Knut Reinert

Abstract

The discovery of functional non-coding RNA sequences has led to an increasing interest in algorithms related to RNA analysis. Traditional sequence alignment algorithms, however, fail at computing reliable alignments of low-homology RNA sequences. The spatial conformation of RNA sequences largely determines their function, and therefore RNA alignment algorithms have to take structural information into account.

Mendeley readers

The data shown below were compiled from readership statistics for 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 8 3%
United States 4 2%
Brazil 3 1%
Portugal 3 1%
France 3 1%
United Kingdom 3 1%
Canada 2 <1%
Denmark 1 <1%
Switzerland 1 <1%
Other 4 2%
Unknown 208 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 87 36%
Student > Master 46 19%
Researcher 45 19%
Professor 12 5%
Student > Doctoral Student 11 5%
Other 28 12%
Unknown 11 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 36%
Computer Science 67 28%
Biochemistry, Genetics and Molecular Biology 34 14%
Engineering 9 4%
Mathematics 7 3%
Other 20 8%
Unknown 17 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2008.
All research outputs
#3,577,529
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#1,717
of 4,576 outputs
Outputs of similar age
#79,386
of 268,168 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 97 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 53% 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 268,168 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 66% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.