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Genome-Wide Association of Carbon and Nitrogen Metabolism in the Maize Nested Association Mapping Population

Overview of attention for article published in Plant Physiology, April 2015
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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1 news outlet
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2 X users

Citations

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83 Dimensions

Readers on

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143 Mendeley
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Title
Genome-Wide Association of Carbon and Nitrogen Metabolism in the Maize Nested Association Mapping Population
Published in
Plant Physiology, April 2015
DOI 10.1104/pp.15.00025
Pubmed ID
Authors

Nengyi Zhang, Yves Gibon, Jason G. Wallace, Nicholas Lepak, Pinghua Li, Lauren Dedow, Charles Chen, Yoon-Sup So, Karl Kremling, Peter J. Bradbury, Thomas Brutnell, Mark Stitt, Edward S. Buckler

Abstract

Carbon (C) and nitrogen (N) metabolism are critical to plant growth and development and are at the basis of crop yield and adaptation. We performed high-throughput metabolite analyses on over 12,000 samples from the maize Nested Association Mapping population to identify genetic variation in C and N metabolism in maize (Zea mays subsp. mays). All samples were grown in the same field and used to identify natural variation controlling the levels of twelve key C and N metabolites, namely chlorophyll a, chlorophyll b, fructose, fumarate, glucose, glutamate, malate, nitrate, starch, sucrose, total amino acids, and total protein, along with the first two principal components derived from them. Our GWAS results frequently identified hits with single-gene resolution. In addition to expected genes such as invertases, natural variation was identified in key C4 metabolism genes including carbonic anhydrases and a malate transporter. Unlike several prior maize studies, extensive pleiotropy was found for C and N metabolites. This integration of field-derived metabolite data with powerful mapping and genomics resources allows for dissection of key metabolic pathways, providing avenues for future genetic improvement.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
France 2 1%
India 1 <1%
Germany 1 <1%
Argentina 1 <1%
Mexico 1 <1%
Unknown 133 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 24%
Student > Ph. D. Student 31 22%
Student > Doctoral Student 14 10%
Student > Postgraduate 9 6%
Professor > Associate Professor 8 6%
Other 27 19%
Unknown 20 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 68%
Biochemistry, Genetics and Molecular Biology 15 10%
Mathematics 1 <1%
Earth and Planetary Sciences 1 <1%
Medicine and Dentistry 1 <1%
Other 0 0%
Unknown 28 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 17 November 2022.
All research outputs
#2,994,327
of 23,130,383 outputs
Outputs from Plant Physiology
#1,916
of 11,677 outputs
Outputs of similar age
#40,318
of 265,969 outputs
Outputs of similar age from Plant Physiology
#8
of 95 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,677 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 83% 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 265,969 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 84% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.