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msBayes: Pipeline for testing comparative phylogeographic histories using hierarchical approximate Bayesian computation

Overview of attention for article published in BMC Bioinformatics, July 2007
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
108 Dimensions

Readers on

mendeley
393 Mendeley
citeulike
3 CiteULike
connotea
2 Connotea
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Title
msBayes: Pipeline for testing comparative phylogeographic histories using hierarchical approximate Bayesian computation
Published in
BMC Bioinformatics, July 2007
DOI 10.1186/1471-2105-8-268
Pubmed ID
Authors

Michael J Hickerson, Eli Stahl, Naoki Takebayashi

Mendeley readers

The data shown below were compiled from readership statistics for 393 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 5%
Brazil 8 2%
France 5 1%
Germany 4 1%
United Kingdom 4 1%
Italy 3 <1%
Spain 3 <1%
Portugal 2 <1%
Uruguay 2 <1%
Other 13 3%
Unknown 328 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 109 28%
Student > Ph. D. Student 103 26%
Professor > Associate Professor 39 10%
Student > Master 32 8%
Student > Bachelor 25 6%
Other 64 16%
Unknown 21 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 318 81%
Biochemistry, Genetics and Molecular Biology 24 6%
Environmental Science 10 3%
Mathematics 2 <1%
Earth and Planetary Sciences 2 <1%
Other 6 2%
Unknown 31 8%

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 07 April 2018.
All research outputs
#3,736,685
of 12,770,714 outputs
Outputs from BMC Bioinformatics
#1,775
of 4,749 outputs
Outputs of similar age
#133,926
of 384,435 outputs
Outputs of similar age from BMC Bioinformatics
#156
of 443 outputs
Altmetric has tracked 12,770,714 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,749 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 53% 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 384,435 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 63% of its contemporaries.
We're also able to compare this research output to 443 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 64% of its contemporaries.