↓ Skip to main content

The tree alignment problem

Overview of attention for article published in BMC Bioinformatics, November 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The tree alignment problem
Published in
BMC Bioinformatics, November 2012
DOI 10.1186/1471-2105-13-293
Pubmed ID
Authors

Andrés Varón, Ward C Wheeler

Abstract

The inference of homologies among DNA sequences, that is, positions in multiple genomes that share a common evolutionary origin, is a crucial, yet difficult task facing biologists. Its computational counterpart is known as the multiple sequence alignment problem. There are various criteria and methods available to perform multiple sequence alignments, and among these, the minimization of the overall cost of the alignment on a phylogenetic tree is known in combinatorial optimization as the Tree Alignment Problem. This problem typically occurs as a subproblem of the Generalized Tree Alignment Problem, which looks for the tree with the lowest alignment cost among all possible trees. This is equivalent to the Maximum Parsimony problem when the input sequences are not aligned, that is, when phylogeny and alignments are simultaneously inferred.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 6%
United States 3 6%
Switzerland 1 2%
Italy 1 2%
United Kingdom 1 2%
Colombia 1 2%
Spain 1 2%
Argentina 1 2%
Unknown 42 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 31%
Professor > Associate Professor 7 13%
Student > Master 7 13%
Student > Ph. D. Student 6 11%
Professor 4 7%
Other 8 15%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 65%
Computer Science 8 15%
Earth and Planetary Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Linguistics 1 2%
Other 0 0%
Unknown 4 7%
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 11 November 2012.
All research outputs
#18,320,524
of 22,685,926 outputs
Outputs from BMC Bioinformatics
#6,287
of 7,253 outputs
Outputs of similar age
#138,631
of 182,177 outputs
Outputs of similar age from BMC Bioinformatics
#88
of 111 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 182,177 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.