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An enhanced RNA alignment benchmark for sequence alignment programs

Overview of attention for article published in Algorithms for Molecular Biology, October 2006
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Citations

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Title
An enhanced RNA alignment benchmark for sequence alignment programs
Published in
Algorithms for Molecular Biology, October 2006
DOI 10.1186/1748-7188-1-19
Pubmed ID
Authors

Andreas Wilm, Indra Mainz, Gerhard Steger

Abstract

The performance of alignment programs is traditionally tested on sets of protein sequences, of which a reference alignment is known. Conclusions drawn from such protein benchmarks do not necessarily hold for the RNA alignment problem, as was demonstrated in the first RNA alignment benchmark published so far. For example, the twilight zone - the similarity range where alignment quality drops drastically - starts at 60 % for RNAs in comparison to 20 % for proteins. In this study we enhance the previous benchmark.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Brazil 2 2%
New Zealand 2 2%
Sweden 1 <1%
Singapore 1 <1%
United Kingdom 1 <1%
Iran, Islamic Republic of 1 <1%
Poland 1 <1%
Unknown 108 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 25%
Student > Ph. D. Student 27 23%
Student > Master 21 18%
Professor > Associate Professor 11 9%
Student > Doctoral Student 6 5%
Other 21 18%
Unknown 4 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 51%
Computer Science 22 18%
Biochemistry, Genetics and Molecular Biology 18 15%
Veterinary Science and Veterinary Medicine 3 3%
Unspecified 3 3%
Other 8 7%
Unknown 5 4%
Attention Score in Context

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 23 October 2010.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from Algorithms for Molecular Biology
#73
of 264 outputs
Outputs of similar age
#23,790
of 68,373 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 3 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 68% 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 68,373 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
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.