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On the group theoretical background of assigning stepwise mutations onto phylogenies

Overview of attention for article published in Algorithms for Molecular Biology, December 2012
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Title
On the group theoretical background of assigning stepwise mutations onto phylogenies
Published in
Algorithms for Molecular Biology, December 2012
DOI 10.1186/1748-7188-7-36
Pubmed ID
Authors

Fischer M, Klaere S, Nguyen MA, Haeseler AV, Mareike Fischer, Steffen Klaere, Minh Anh Thi Nguyen, Arndt von Haeseler

Abstract

Recently one step mutation matrices were introduced to model the impact of substitutions on arbitrary branches of a phylogenetic tree on an alignment site. This concept works nicely for the four-state nucleotide alphabet and provides an efficient procedure conjectured to compute the minimal number of substitutions needed to transform one alignment site into another. The present paper delivers a proof of the validity of this algorithm. Moreover, we provide several mathematical insights into the generalization of the OSM matrix to multi-state alphabets. The construction of the OSM matrix is only possible if the matrices representing the substitution types acting on the character states and the identity matrix form a commutative group with respect to matrix multiplication. We illustrate this approach by looking at Abelian groups over twenty states and critically discuss their biological usefulness when investigating amino acids.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 13%
United States 1 13%
Unknown 6 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 63%
Lecturer 2 25%
Student > Ph. D. Student 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 50%
Mathematics 2 25%
Computer Science 1 13%
Philosophy 1 13%

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 28 January 2013.
All research outputs
#3,075,862
of 4,507,280 outputs
Outputs from Algorithms for Molecular Biology
#56
of 108 outputs
Outputs of similar age
#193,833
of 285,384 outputs
Outputs of similar age from Algorithms for Molecular Biology
#3
of 8 outputs
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So far Altmetric has tracked 108 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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