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Estimating demographic parameters from large-scale population genomic data using Approximate Bayesian Computation

Overview of attention for article published in BMC Genetics, January 2012
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
141 Mendeley
citeulike
4 CiteULike
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Title
Estimating demographic parameters from large-scale population genomic data using Approximate Bayesian Computation
Published in
BMC Genetics, January 2012
DOI 10.1186/1471-2156-13-22
Authors

Sen Li, Mattias Jakobsson

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Brazil 3 2%
Germany 2 1%
United Kingdom 2 1%
France 1 <1%
South Africa 1 <1%
Canada 1 <1%
Switzerland 1 <1%
China 1 <1%
Other 1 <1%
Unknown 124 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 33%
Researcher 35 25%
Student > Master 12 9%
Professor 8 6%
Student > Doctoral Student 7 5%
Other 24 17%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 69%
Biochemistry, Genetics and Molecular Biology 18 13%
Environmental Science 3 2%
Computer Science 2 1%
Social Sciences 2 1%
Other 8 6%
Unknown 11 8%

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 03 April 2012.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from BMC Genetics
#752
of 1,057 outputs
Outputs of similar age
#197,411
of 245,481 outputs
Outputs of similar age from BMC Genetics
#29
of 33 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,057 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 16th percentile – i.e., 16% 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 245,481 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.