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Approximate Likelihood Estimation of Divergence Time Range Using a Coalescent-based Model

Overview of attention for article published in Evolutionary Bioinformatics, December 2013
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  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
17 Mendeley
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Article details
Title
Approximate Likelihood Estimation of Divergence Time Range Using a Coalescent-based Model
Published in
Evolutionary Bioinformatics, December 2013
DOI 10.4137/ebo.s13080
Pubmed ID
Authors

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Canada 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Bachelor 2 12%
Researcher 2 12%
Student > Doctoral Student 1 6%
Professor 1 6%
Other 2 12%
Unknown 5 29%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 10 59%
Computer Science 2 12%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 July 2026.
All research outputs
#11,684,244
of 33,184,990 outputs
Outputs from Evolutionary Bioinformatics
#93
of 422 outputs
Outputs of similar age
#120,189
of 366,558 outputs
Outputs of similar age from Evolutionary Bioinformatics
#1
of 2 outputs
Altmetric has tracked 33,184,990 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 422 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 72% 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 366,558 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
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