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MSARC: Multiple sequence alignment by residue clustering

Overview of attention for article published in Algorithms for Molecular Biology, April 2014
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Mentioned by

twitter
2 tweeters

Citations

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6 Dimensions

Readers on

mendeley
1 Mendeley
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Title
MSARC: Multiple sequence alignment by residue clustering
Published in
Algorithms for Molecular Biology, April 2014
DOI 10.1186/1748-7188-9-12
Pubmed ID
Authors

Michał Modzelewski, Norbert Dojer

Abstract

Progressive methods offer efficient and reasonably good solutions to the multiple sequence alignment problem. However, resulting alignments are biased by guide-trees, especially for relatively distant sequences.

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 100%
Germany 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 200%
Professor 1 100%
Student > Ph. D. Student 1 100%
Researcher 1 100%
Professor > Associate Professor 1 100%
Other 0 0%
Readers by discipline Count As %
Computer Science 3 300%
Agricultural and Biological Sciences 2 200%
Biochemistry, Genetics and Molecular Biology 1 100%

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 19 May 2014.
All research outputs
#8,687,837
of 11,293,566 outputs
Outputs from Algorithms for Molecular Biology
#106
of 177 outputs
Outputs of similar age
#109,976
of 175,820 outputs
Outputs of similar age from Algorithms for Molecular Biology
#5
of 8 outputs
Altmetric has tracked 11,293,566 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 177 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 34th percentile – i.e., 34% 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 175,820 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.