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Nodal distances for rooted phylogenetic trees

Overview of attention for article published in Journal of Mathematical Biology, September 2009
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27 Mendeley
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2 CiteULike
Title
Nodal distances for rooted phylogenetic trees
Published in
Journal of Mathematical Biology, September 2009
DOI 10.1007/s00285-009-0295-2
Pubmed ID
Authors

Gabriel Cardona, Mercè Llabrés, Francesc Rosselló, Gabriel Valiente

Abstract

Dissimilarity measures for (possibly weighted) phylogenetic trees based on the comparison of their vectors of path lengths between pairs of taxa, have been present in the systematics literature since the early seventies. For rooted phylogenetic trees, however, these vectors can only separate non-weighted binary trees, and therefore these dissimilarity measures are metrics only on this class of rooted phylogenetic trees. In this paper we overcome this problem, by splitting in a suitable way each path length between two taxa into two lengths. We prove that the resulting splitted path lengths matrices single out arbitrary rooted phylogenetic trees with nested taxa and arcs weighted in the set of positive real numbers. This allows the definition of metrics on this general class of rooted phylogenetic trees by comparing these matrices through metrics in spaces M(n)(R) of real-valued n x n matrices. We conclude this paper by establishing some basic facts about the metrics for non-weighted phylogenetic trees defined in this way using L(p) metrics on M(n)(R), with p [epsilon] R(>0).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Spain 1 4%
United States 1 4%
Brazil 1 4%
Unknown 23 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Researcher 5 19%
Professor > Associate Professor 3 11%
Student > Bachelor 2 7%
Lecturer 2 7%
Other 5 19%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 41%
Mathematics 7 26%
Biochemistry, Genetics and Molecular Biology 2 7%
Computer Science 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 7%
Unknown 2 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 22 September 2011.
All research outputs
#15,236,094
of 22,653,392 outputs
Outputs from Journal of Mathematical Biology
#331
of 655 outputs
Outputs of similar age
#67,666
of 80,907 outputs
Outputs of similar age from Journal of Mathematical Biology
#2
of 4 outputs
Altmetric has tracked 22,653,392 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 655 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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