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ZENODO
Software . 2017
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2017
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2017
License: CC BY
Data sources: Datacite
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Quantitative Genetic analysis code

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 08 Jun 2017Publisher:ZenodoFunded by:EC | 2SEXES_1GENOME
Authors: Morrow, Edward H.; Ingleby, Fiona C;

doi: 10.5281/zenodo.804324 , 10.5281/zenodo.804323

Quantitative Genetic analysis code

Abstract

R code for conducting the quantitative genetic analysis of phenotypic data available here: https://doi.org/10.5281/zenodo.571168 Female and male heritability, genetic covariance and genetic correlation between the sexes are estimated from the posterior distribution of a Bayesian mixed effects model run in R using the package MCMCglmm (Lynch & Walsh, 1998; Hadfield, 2010). References Hadfield, J.D. 2010. MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package. J. Stat. Softw. 33. Lynch, M. & Walsh, B. 1998. Genetics and analysis of quantitative traits. Sinauer, Sunderland, Mass.

Related Organizations
Keywords

Fitness, MCMCglmm, Reproductive success

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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