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SnIPRE: Selection Inference Using a Poisson Random Effects Model

Overview of attention for article published in PLoS Computational Biology, December 2012
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1 X user

Citations

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80 Dimensions

Readers on

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132 Mendeley
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2 CiteULike
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Title
SnIPRE: Selection Inference Using a Poisson Random Effects Model
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002806
Pubmed ID
Authors

Kirsten E. Eilertson, James G. Booth, Carlos D. Bustamante

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Switzerland 1 <1%
Portugal 1 <1%
China 1 <1%
United Kingdom 1 <1%
Unknown 124 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 27%
Researcher 34 26%
Student > Master 15 11%
Professor > Associate Professor 7 5%
Student > Bachelor 6 5%
Other 17 13%
Unknown 18 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 52%
Biochemistry, Genetics and Molecular Biology 30 23%
Social Sciences 3 2%
Medicine and Dentistry 3 2%
Mathematics 2 2%
Other 10 8%
Unknown 16 12%
Attention Score in Context

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 06 December 2012.
All research outputs
#23,196,437
of 25,837,817 outputs
Outputs from PLoS Computational Biology
#8,647
of 9,035 outputs
Outputs of similar age
#262,018
of 290,120 outputs
Outputs of similar age from PLoS Computational Biology
#120
of 131 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 1st percentile – i.e., 1% 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 290,120 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.