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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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Citations

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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.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 13%
Germany 1 13%
Unknown 6 75%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Student > Ph. D. Student 1 13%
Professor 1 13%
Researcher 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 5 63%
Agricultural and Biological Sciences 2 25%
Unknown 1 13%
Attention Score in Context

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
#15,299,491
of 22,753,345 outputs
Outputs from Algorithms for Molecular Biology
#148
of 264 outputs
Outputs of similar age
#119,918
of 203,744 outputs
Outputs of similar age from Algorithms for Molecular Biology
#6
of 8 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 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 203,744 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% 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 2 of them.