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Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

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1 X user
syllabi
2 institutions with syllabi

Citations

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706 Dimensions

Readers on

mendeley
13 Mendeley
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1 Connotea
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Title
Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
Published by
Statistics for Biology and Health, January 2002
DOI 10.1007/b98952
ISBNs
978-0-387-22764-1, 978-0-387-95440-0, 978-1-4419-2997-6
Authors

Sorensen, Daniel, Gianola, Daniel, Daniel Sorensen, Daniel Gianola

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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Researcher 2 15%
Professor > Associate Professor 2 15%
Student > Postgraduate 1 8%
Student > Bachelor 1 8%
Other 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 77%
Veterinary Science and Veterinary Medicine 1 8%
Environmental Science 1 8%
Engineering 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 August 2017.
All research outputs
#16,464,459
of 25,992,468 outputs
Outputs from Statistics for Biology and Health
#1
of 1 outputs
Outputs of similar age
#112,149
of 132,200 outputs
Outputs of similar age from Statistics for Biology and Health
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.5. This one scored the same or higher as 0 of them.
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 132,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them