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Looking for trees in the forest: summary tree from posterior samples

Overview of attention for article published in BMC Ecology and Evolution, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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134 Dimensions

Readers on

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123 Mendeley
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Title
Looking for trees in the forest: summary tree from posterior samples
Published in
BMC Ecology and Evolution, October 2013
DOI 10.1186/1471-2148-13-221
Pubmed ID
Authors

Joseph Heled, Remco R Bouckaert

Abstract

Bayesian phylogenetic analysis generates a set of trees which are often condensed into a single tree representing the whole set. Many methods exist for selecting a representative topology for a set of unrooted trees, few exist for assigning branch lengths to a fixed topology, and even fewer for simultaneously setting the topology and branch lengths. However, there is very little research into locating a good representative for a set of rooted time trees like the ones obtained from a BEAST analysis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Brazil 3 2%
Germany 2 2%
United Kingdom 2 2%
Switzerland 1 <1%
Sweden 1 <1%
Chile 1 <1%
France 1 <1%
Iran, Islamic Republic of 1 <1%
Other 3 2%
Unknown 105 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 24%
Researcher 25 20%
Student > Master 13 11%
Student > Bachelor 10 8%
Student > Doctoral Student 7 6%
Other 25 20%
Unknown 13 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 51%
Biochemistry, Genetics and Molecular Biology 13 11%
Computer Science 7 6%
Environmental Science 5 4%
Mathematics 4 3%
Other 12 10%
Unknown 19 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 June 2020.
All research outputs
#7,960,052
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#1,833
of 3,714 outputs
Outputs of similar age
#68,151
of 220,418 outputs
Outputs of similar age from BMC Ecology and Evolution
#41
of 76 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 48th percentile – i.e., 48% 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 220,418 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 67% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.