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A Bayesian framework to estimate diversification rates and their variation through time and space

Overview of attention for article published in BMC Ecology and Evolution, October 2011
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Citations

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Title
A Bayesian framework to estimate diversification rates and their variation through time and space
Published in
BMC Ecology and Evolution, October 2011
DOI 10.1186/1471-2148-11-311
Pubmed ID
Authors

Daniele Silvestro, Jan Schnitzler, Georg Zizka

Abstract

Patterns of species diversity are the result of speciation and extinction processes, and molecular phylogenetic data can provide valuable information to derive their variability through time and across clades. Bayesian Markov chain Monte Carlo methods offer a promising framework to incorporate phylogenetic uncertainty when estimating rates of diversification.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 4%
United Kingdom 5 2%
Brazil 5 2%
Switzerland 4 1%
Germany 4 1%
India 3 <1%
France 3 <1%
Chile 2 <1%
Sweden 2 <1%
Other 11 4%
Unknown 251 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 83 27%
Researcher 80 26%
Professor > Associate Professor 23 8%
Professor 21 7%
Student > Master 21 7%
Other 53 17%
Unknown 22 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 221 73%
Environmental Science 18 6%
Earth and Planetary Sciences 10 3%
Biochemistry, Genetics and Molecular Biology 9 3%
Mathematics 6 2%
Other 12 4%
Unknown 27 9%
Attention Score in Context

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 06 December 2011.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#2,928
of 3,714 outputs
Outputs of similar age
#105,812
of 151,952 outputs
Outputs of similar age from BMC Ecology and Evolution
#50
of 72 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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 14th percentile – i.e., 14% 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 151,952 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.