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Mendeley readers
Attention Score in Context
Title |
An improved approximate-Bayesian model-choice method for estimating shared evolutionary history
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Published in |
BMC Ecology and Evolution, July 2014
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DOI | 10.1186/1471-2148-14-150 |
Pubmed ID | |
Authors |
Jamie R Oaks |
Abstract |
To understand biological diversification, it is important to account for large-scale processes that affect the evolutionary history of groups of co-distributed populations of organisms. Such events predict temporally clustered divergences times, a pattern that can be estimated using genetic data from co-distributed species. I introduce a new approximate-Bayesian method for comparative phylogeographical model-choice that estimates the temporal distribution of divergences across taxa from multi-locus DNA sequence data. The model is an extension of that implemented in msBayes. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
Norway | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 7% |
Portugal | 1 | 2% |
France | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 54 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 31% |
Researcher | 14 | 23% |
Student > Master | 8 | 13% |
Professor | 5 | 8% |
Student > Doctoral Student | 4 | 7% |
Other | 9 | 15% |
Unknown | 2 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 41 | 67% |
Biochemistry, Genetics and Molecular Biology | 5 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Environmental Science | 1 | 2% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Other | 4 | 7% |
Unknown | 8 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 11 August 2014.
All research outputs
#1,918,424
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#467
of 3,714 outputs
Outputs of similar age
#18,777
of 242,252 outputs
Outputs of similar age from BMC Ecology and Evolution
#11
of 65 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 87% 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 242,252 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.