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Reconciling taxonomy and phylogenetic inference: formalism and algorithms for describing discord and inferring taxonomic roots

Overview of attention for article published in Algorithms for Molecular Biology, May 2012
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

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10 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Reconciling taxonomy and phylogenetic inference: formalism and algorithms for describing discord and inferring taxonomic roots
Published in
Algorithms for Molecular Biology, May 2012
DOI 10.1186/1748-7188-7-8
Pubmed ID
Authors

Frederick A Matsen, Aaron Gallagher

Abstract

Although taxonomy is often used informally to evaluate the results of phylogenetic inference and the root of phylogenetic trees, algorithmic methods to do so are lacking.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Spain 1 3%
Brazil 1 3%
Germany 1 3%
Argentina 1 3%
Sweden 1 3%
Canada 1 3%
Venezuela, Bolivarian Republic of 1 3%
Unknown 22 71%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 35%
Student > Ph. D. Student 11 35%
Student > Master 5 16%
Student > Bachelor 3 10%
Professor 1 3%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 71%
Computer Science 6 19%
Immunology and Microbiology 2 6%
Unspecified 1 3%

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 02 May 2012.
All research outputs
#5,030,666
of 9,233,965 outputs
Outputs from Algorithms for Molecular Biology
#85
of 170 outputs
Outputs of similar age
#47,124
of 95,988 outputs
Outputs of similar age from Algorithms for Molecular Biology
#5
of 8 outputs
Altmetric has tracked 9,233,965 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 42nd percentile – i.e., 42% 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 95,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% 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 3 of them.