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Using Ancient Traits to Convert Soil Health into Crop Yield: Impact of Selection on Maize Root and Rhizosphere Function

Overview of attention for article published in Frontiers in Plant Science, March 2016
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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1 blog
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20 X users
googleplus
1 Google+ user

Citations

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88 Dimensions

Readers on

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288 Mendeley
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Title
Using Ancient Traits to Convert Soil Health into Crop Yield: Impact of Selection on Maize Root and Rhizosphere Function
Published in
Frontiers in Plant Science, March 2016
DOI 10.3389/fpls.2016.00373
Pubmed ID
Authors

Jennifer E. Schmidt, Timothy M. Bowles, Amélie C. M. Gaudin

Abstract

The effect of domestication and modern breeding on aboveground traits in maize (Zea mays) has been well-characterized, but the impact on root systems and the rhizosphere remain unclear. The transition from wild ecosystems to modern agriculture has focused on selecting traits that yielded the largest aboveground production with increasing levels of crop management and nutrient inputs. Root morphology, anatomy, and ecophysiological processes may have been affected by the substantial environmental and genetic shifts associated with this transition. As a result, root and rhizosphere traits that allow more efficient foraging and uptake in lower synthetic input environments might have been lost. The development of modern maize has led to a shift in microbiome community composition, but questions remain as to the dynamics and drivers of this change during maize evolution and its implications for resource acquisition and agroecosystem functioning under different management practices. Better understanding of how domestication and breeding affected root and rhizosphere microbial traits could inform breeding strategies, facilitate the sourcing of favorable alleles, and open new frontiers to improve resource use efficiency through greater integration of root development and ecophysiology with agroecosystem functioning.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
United Kingdom 2 <1%
Chile 1 <1%
Peru 1 <1%
Unknown 280 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 20%
Student > Ph. D. Student 55 19%
Student > Master 41 14%
Student > Bachelor 24 8%
Student > Doctoral Student 19 7%
Other 41 14%
Unknown 51 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 155 54%
Environmental Science 23 8%
Biochemistry, Genetics and Molecular Biology 21 7%
Earth and Planetary Sciences 4 1%
Arts and Humanities 3 1%
Other 15 5%
Unknown 67 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 23 September 2021.
All research outputs
#1,731,334
of 25,257,066 outputs
Outputs from Frontiers in Plant Science
#588
of 24,303 outputs
Outputs of similar age
#28,209
of 307,127 outputs
Outputs of similar age from Frontiers in Plant Science
#10
of 503 outputs
Altmetric has tracked 25,257,066 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,303 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 307,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 503 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 98% of its contemporaries.