| Title |
On the Ancestral Compatibility of Two Phylogenetic Trees with Nested Taxa
|
|---|---|
| Published in |
Journal of Mathematical Biology, July 2006
|
| DOI | 10.1007/s00285-006-0011-4 |
| Pubmed ID | |
| Authors |
Mercè Llabrés, Jairo Rocha, Francesc Rosselló, Gabriel Valiente |
| Abstract |
Compatibility of phylogenetic trees is the most important concept underlying widely-used methods for assessing the agreement of different phylogenetic trees with overlapping taxa and combining them into common supertrees to reveal the tree of life. The notion of ancestral compatibility of phylogenetic trees with nested taxa was recently introduced. In this paper we analyze in detail the meaning of this compatibility from the points of view of the local structure of the trees, of the existence of embeddings into a common supertree, and of the joint properties of their cluster representations. Our analysis leads to a very simple polynomial-time algorithm for testing this compatibility, which we have implemented and is freely available for download from the BioPerl collection of Perl modules for computational biology. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 8% |
| United States | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 10 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 31% |
| Lecturer | 2 | 15% |
| Professor > Associate Professor | 2 | 15% |
| Student > Ph. D. Student | 2 | 15% |
| Other | 1 | 8% |
| Other | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 38% |
| Earth and Planetary Sciences | 3 | 23% |
| Computer Science | 3 | 23% |
| Mathematics | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 March 2021.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Journal of Mathematical Biology
#155
of 655 outputs
Outputs of similar age
#22,888
of 65,412 outputs
Outputs of similar age from Journal of Mathematical Biology
#2
of 4 outputs
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So far Altmetric has tracked 655 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 63% of its peers.
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