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Entering the second century of maize quantitative genetics

Overview of attention for article published in Heredity, March 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 news outlet
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3 X users
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1 Facebook page

Citations

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135 Dimensions

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348 Mendeley
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Title
Entering the second century of maize quantitative genetics
Published in
Heredity, March 2013
DOI 10.1038/hdy.2013.6
Pubmed ID
Authors

J G Wallace, S J Larsson, E S Buckler

Abstract

Maize is the most widely grown cereal in the world. In addition to its role in global agriculture, it has also long served as a model organism for genetic research. Maize stands at a genetic crossroads, as it has access to all the tools available for plant genetics but exhibits a genetic architecture more similar to other outcrossing organisms than to self-pollinating crops and model plants. In this review, we summarize recent advances in maize genetics, including the development of powerful populations for genetic mapping and genome-wide association studies (GWAS), and the insights these studies yield on the mechanisms underlying complex maize traits. Most maize traits are controlled by a large number of genes, and linkage analysis of several traits implicates a 'common gene, rare allele' model of genetic variation where some genes have many individually rare alleles contributing. Most natural alleles exhibit small effect sizes with little-to-no detectable pleiotropy or epistasis. Additionally, many of these genes are locked away in low-recombination regions that encourage the formation of multi-gene blocks that may underlie maize's strong heterotic effect. Domestication left strong marks on the maize genome, and some of the differences in trait architectures may be due to different selective pressures over time. Overall, maize's advantages as a model system make it highly desirable for studying the genetics of outcrossing species, and results from it can provide insight into other such species, including humans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 348 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Germany 3 <1%
Brazil 3 <1%
France 2 <1%
Mexico 2 <1%
India 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Australia 1 <1%
Other 4 1%
Unknown 324 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 86 25%
Researcher 73 21%
Student > Master 53 15%
Professor > Associate Professor 17 5%
Student > Doctoral Student 17 5%
Other 65 19%
Unknown 37 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 253 73%
Biochemistry, Genetics and Molecular Biology 26 7%
Computer Science 6 2%
Environmental Science 3 <1%
Mathematics 2 <1%
Other 11 3%
Unknown 47 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 January 2018.
All research outputs
#2,757,886
of 22,699,621 outputs
Outputs from Heredity
#440
of 2,151 outputs
Outputs of similar age
#23,735
of 194,888 outputs
Outputs of similar age from Heredity
#4
of 23 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,151 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 79% 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 194,888 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.