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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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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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1 news outlet
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2 X users

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146 Mendeley
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Article details
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
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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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 3%
France 2 1%
Mexico 1 <1%
India 1 <1%
Germany 1 <1%
Argentina 1 <1%
Unknown 136 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 35 24%
Student > Ph. D. Student 31 21%
Student > Doctoral Student 14 10%
Student > Postgraduate 9 6%
Professor > Associate Professor 8 5%
Other 27 18%
Unknown 22 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 97 66%
Biochemistry, Genetics and Molecular Biology 16 11%
Mathematics 1 <1%
Earth and Planetary Sciences 1 <1%
Medicine and Dentistry 1 <1%
Other 0 0%
Unknown 30 21%
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
#3,791,690
of 27,778,980 outputs
Outputs from Plant Physiology
#2,319
of 13,244 outputs
Outputs of similar age
#43,983
of 283,206 outputs
Outputs of similar age from Plant Physiology
#8
of 94 outputs
Altmetric has tracked 27,778,980 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,244 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 82% 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 283,206 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 83% of its contemporaries.
We're also able to compare this research output to 94 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.