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Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming

Overview of attention for article published in Microbiome, January 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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2 news outlets
blogs
1 blog
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33 X users
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3 Facebook pages

Citations

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447 Dimensions

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476 Mendeley
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Title
Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming
Published in
Microbiome, January 2018
DOI 10.1186/s40168-017-0389-9
Pubmed ID
Authors

Kyle Hartman, Marcel G. A. van der Heijden, Raphaël A. Wittwer, Samiran Banerjee, Jean-Claude Walser, Klaus Schlaeppi

Abstract

Harnessing beneficial microbes presents a promising strategy to optimize plant growth and agricultural sustainability. Little is known to which extent and how specifically soil and plant microbiomes can be manipulated through different cropping practices. Here, we investigated soil and wheat root microbial communities in a cropping system experiment consisting of conventional and organic managements, both with different tillage intensities. While microbial richness was marginally affected, we found pronounced cropping effects on community composition, which were specific for the respective microbiomes. Soil bacterial communities were primarily structured by tillage, whereas soil fungal communities responded mainly to management type with additional effects by tillage. In roots, management type was also the driving factor for bacteria but not for fungi, which were generally determined by changes in tillage intensity. To quantify an "effect size" for microbiota manipulation, we found that about 10% of variation in microbial communities was explained by the tested cropping practices. Cropping sensitive microbes were taxonomically diverse, and they responded in guilds of taxa to the specific practices. These microbes also included frequent community members or members co-occurring with many other microbes in the community, suggesting that cropping practices may allow manipulation of influential community members. Understanding the abundance patterns of cropping sensitive microbes presents the basis towards developing microbiota management strategies for smart farming. For future targeted microbiota management-e.g., to foster certain microbes with specific agricultural practices-a next step will be to identify the functional traits of the cropping sensitive microbes.

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X Demographics

The data shown below were collected from the profiles of 33 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 476 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 476 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 17%
Researcher 76 16%
Student > Master 55 12%
Student > Bachelor 32 7%
Student > Doctoral Student 27 6%
Other 57 12%
Unknown 148 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 193 41%
Biochemistry, Genetics and Molecular Biology 34 7%
Environmental Science 22 5%
Computer Science 10 2%
Immunology and Microbiology 7 1%
Other 37 8%
Unknown 173 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 26 July 2022.
All research outputs
#893,002
of 24,916,485 outputs
Outputs from Microbiome
#253
of 1,708 outputs
Outputs of similar age
#21,283
of 453,647 outputs
Outputs of similar age from Microbiome
#10
of 54 outputs
Altmetric has tracked 24,916,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one has done well, scoring higher than 85% 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 453,647 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 95% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.