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Fast calculation of the quartet distance between trees of arbitrary degrees

Overview of attention for article published in Algorithms for Molecular Biology, September 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#48 of 264)
  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
25 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
Fast calculation of the quartet distance between trees of arbitrary degrees
Published in
Algorithms for Molecular Biology, September 2006
DOI 10.1186/1748-7188-1-16
Pubmed ID
Authors

Chris Christiansen, Thomas Mailund, Christian NS Pedersen, Martin Randers, Martin Stig Stissing

Abstract

A number of algorithms have been developed for calculating the quartet distance between two evolutionary trees on the same set of species. The quartet distance is the number of quartets - sub-trees induced by four leaves - that differs between the trees. Mostly, these algorithms are restricted to work on binary trees, but recently we have developed algorithms that work on trees of arbitrary degree.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 8%
United Kingdom 1 4%
Sweden 1 4%
Spain 1 4%
United States 1 4%
Unknown 19 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 36%
Student > Ph. D. Student 6 24%
Professor 2 8%
Student > Master 2 8%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 36%
Computer Science 5 20%
Biochemistry, Genetics and Molecular Biology 3 12%
Environmental Science 1 4%
Mathematics 1 4%
Other 3 12%
Unknown 3 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 April 2009.
All research outputs
#5,426,105
of 22,705,019 outputs
Outputs from Algorithms for Molecular Biology
#48
of 264 outputs
Outputs of similar age
#18,739
of 67,337 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 2 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 81% of its peers.
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 67,337 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them