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Integrated network analysis reveals the importance of microbial interactions for maize growth

Overview of attention for article published in Applied Microbiology and Biotechnology, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 blog
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Citations

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77 Mendeley
Title
Integrated network analysis reveals the importance of microbial interactions for maize growth
Published in
Applied Microbiology and Biotechnology, March 2018
DOI 10.1007/s00253-018-8837-4
Pubmed ID
Authors

Jiemeng Tao, Delong Meng, Chong Qin, Xueduan Liu, Yili Liang, Yunhua Xiao, Zhenghua Liu, Yabing Gu, Juan Li, Huaqun Yin

Abstract

Microbes play a critical role in soil global biogeochemical circulation and microbe-microbe interactions have also evoked enormous interests in recent years. Utilization of green manures can stimulate microbial activity and affect microbial composition and diversity. However, few studies focus on the microbial interactions or detect the key functional members in communities. With the advances of metagenomic technologies, network analysis has been used as a powerful tool to detect robust interactions between microbial members. Here, random matrix theory-based network analysis was used to investigate the microbial networks in response to four different green manure fertilization regimes (Vicia villosa, common vetch, milk vetch, and radish) over two growth cycles from October 2012 to September 2014. The results showed that the topological properties of microbial networks were dramatically altered by green manure fertilization. Microbial network under milk vetch amendment showed substantially more intense complexity and interactions than other fertilization systems, indicating that milk vetch provided a favorable condition for microbial interactions and niche sharing. The shift of microbial interactions could be attributed to the changes in some major soil traits and the interactions might be correlated to plant growth and production. With the stimuli of green manures, positive interactions predominated the network eventually and the network complexity was in consistency with maize productivity, which suggested that the complex soil microbial networks might benefit to plants rather than simple ones, because complex networks would hold strong the ability to cope with environment changes or suppress soil-borne pathogen infection on plants. In addition, network analyses discerned some putative keystone taxa and seven of them had directly positive interactions with maize yield, which suggested their important roles in maintaining environmental functions and in improving plant growth.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Student > Master 9 12%
Researcher 8 10%
Student > Doctoral Student 8 10%
Student > Bachelor 5 6%
Other 10 13%
Unknown 17 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 39%
Environmental Science 11 14%
Biochemistry, Genetics and Molecular Biology 9 12%
Unspecified 1 1%
Nursing and Health Professions 1 1%
Other 6 8%
Unknown 19 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 19 September 2018.
All research outputs
#4,242,425
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#999
of 8,034 outputs
Outputs of similar age
#79,829
of 336,305 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#22
of 140 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 336,305 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 76% of its contemporaries.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.