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Incorporating the soil environment and microbial community into plant competition theory

Overview of attention for article published in Frontiers in Microbiology, October 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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2 X users
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1 Wikipedia page

Readers on

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84 Mendeley
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Title
Incorporating the soil environment and microbial community into plant competition theory
Published in
Frontiers in Microbiology, October 2015
DOI 10.3389/fmicb.2015.01066
Pubmed ID
Authors

Po-Ju Ke, Takeshi Miki

Abstract

Plants affect microbial communities and abiotic properties of nearby soils, which in turn influence plant growth and interspecific interaction, forming a plant-soil feedback (PSF). PSF is a key determinant influencing plant population dynamics, community structure, and ecosystem functions. Despite accumulating evidence for the importance of PSF and development of specific PSF models, different models are not yet fully integrated. Here, we review the theoretical progress in understanding PSF. When first proposed, PSF was integrated with various mathematical frameworks to discuss its influence on plant competition. Recent theoretical models have advanced PSF research at different levels of ecological organizations by considering multiple species, applying spatially explicit simulations to examine how local-scale predictions apply to larger scales, and assessing the effect of PSF on plant temporal dynamics over the course of succession. We then review two foundational models for microbial- and litter-mediated PSF. We present a theoretical framework to illustrate that although the two models are typically presented separately, their behavior can be understood together by invasibility analysis. We conclude with suggestions for future directions in PSF theoretical studies, which include specifically addressing microbial diversity to integrate litter- and microbial-mediated PSF, and apply PSF to general coexistence theory through a trait-based approach.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Estonia 1 1%
Belgium 1 1%
Taiwan 1 1%
Unknown 78 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 29%
Student > Bachelor 10 12%
Researcher 9 11%
Student > Doctoral Student 7 8%
Student > Master 7 8%
Other 12 14%
Unknown 15 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 42%
Environmental Science 20 24%
Biochemistry, Genetics and Molecular Biology 4 5%
Physics and Astronomy 2 2%
Nursing and Health Professions 1 1%
Other 3 4%
Unknown 19 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 January 2020.
All research outputs
#7,580,434
of 24,885,505 outputs
Outputs from Frontiers in Microbiology
#7,647
of 28,434 outputs
Outputs of similar age
#86,199
of 283,957 outputs
Outputs of similar age from Frontiers in Microbiology
#110
of 432 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 28,434 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 72% 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 283,957 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 432 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.