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A Comparison of Phylogenetic Network Methods Using Computer Simulation

Overview of attention for article published in PLOS ONE, April 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
392 Mendeley
citeulike
9 CiteULike
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Title
A Comparison of Phylogenetic Network Methods Using Computer Simulation
Published in
PLOS ONE, April 2008
DOI 10.1371/journal.pone.0001913
Pubmed ID
Authors

Steven M. Woolley, David Posada, Keith A. Crandall

Abstract

We present a series of simulation studies that explore the relative performance of several phylogenetic network approaches (statistical parsimony, split decomposition, union of maximum parsimony trees, neighbor-net, simulated history recombination upper bound, median-joining, reduced median joining and minimum spanning network) compared to standard tree approaches, (neighbor-joining and maximum parsimony) in the presence and absence of recombination.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 392 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
Brazil 8 2%
Portugal 6 2%
Germany 5 1%
Netherlands 3 <1%
Spain 3 <1%
United Kingdom 2 <1%
France 1 <1%
Ireland 1 <1%
Other 14 4%
Unknown 340 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 124 32%
Student > Ph. D. Student 79 20%
Student > Master 46 12%
Professor > Associate Professor 24 6%
Professor 23 6%
Other 70 18%
Unknown 26 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 256 65%
Biochemistry, Genetics and Molecular Biology 35 9%
Computer Science 17 4%
Environmental Science 12 3%
Social Sciences 5 1%
Other 30 8%
Unknown 37 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 October 2013.
All research outputs
#3,226,793
of 22,668,244 outputs
Outputs from PLOS ONE
#42,442
of 193,511 outputs
Outputs of similar age
#9,673
of 81,716 outputs
Outputs of similar age from PLOS ONE
#91
of 309 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 78% 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 81,716 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.