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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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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
414 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

Mendeley readers

The data shown below were compiled from readership statistics for 414 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 20 5%
Brazil 8 2%
France 5 1%
United Kingdom 4 <1%
Germany 4 <1%
Italy 3 <1%
Spain 3 <1%
Uruguay 2 <1%
Colombia 2 <1%
Other 12 3%
Unknown 351 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 114 28%
Student > Ph. D. Student 106 26%
Professor > Associate Professor 38 9%
Student > Master 34 8%
Student > Bachelor 25 6%
Other 70 17%
Unknown 27 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 324 78%
Biochemistry, Genetics and Molecular Biology 30 7%
Environmental Science 10 2%
Earth and Planetary Sciences 3 <1%
Mathematics 2 <1%
Other 6 1%
Unknown 39 9%
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 07 April 2018.
All research outputs
#7,543,662
of 23,015,156 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,315 outputs
Outputs of similar age
#24,531
of 67,519 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 45 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,315 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 67,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.