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Microbiome analysis and -omics studies of microbial denitrification processes in wastewater treatment: recent advances

Overview of attention for article published in Science China Life Sciences, January 2018
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 blog
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3 X users

Citations

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32 Dimensions

Readers on

mendeley
62 Mendeley
Title
Microbiome analysis and -omics studies of microbial denitrification processes in wastewater treatment: recent advances
Published in
Science China Life Sciences, January 2018
DOI 10.1007/s11427-017-9228-2
Pubmed ID
Authors

Lili Miao, Zhipei Liu

Abstract

Nitrogen pollution is an increasingly severe worldwide problem because of drainage of nitrogen-containing wastewater and intensive application of nitrogen-containing fertilizers. Denitrification, a key process in nitrogen cycles, is commonly employed for nitrogen removal in engineered wastewater treatment systems. Biological denitrification is performed by denitrifying microbes (bacteria) that use nitrate as terminal electron acceptor. Better understanding the functions of diverse microbial populations in denitrification-based wastewater treatment systems, and the interactions of these populations with operating environments, is essential for improving both treatment performance and system stability. Recent advances in "meta-omics" (e. g., genomics, transcriptomics, proteomics, metabolomics), other molecular biology tools, and microbiome analysis have greatly enhanced such understanding. This minireview summarizes recent findings regarding microbial community structure and composition, key functional microbes and their physiology, functional genes involved in nitrogen cycle, and responses of microbes and their genes to changes of environmental factors or operating parameters, in denitrification processes in wastewater treatment systems. Of particular interest are heterotrophic denitrification systems (which require alternative organic carbon sources) and the autotrophic denitrification systems (which do not require an external carbon source). Integrated microbiome and -omics approaches have great future potential for determination of optimal environmental and biotechnological parameters, novel process development, and improvement of nitrogen removal efficiency and system stability.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 24%
Student > Ph. D. Student 10 16%
Researcher 5 8%
Student > Postgraduate 4 6%
Student > Doctoral Student 3 5%
Other 9 15%
Unknown 16 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 21%
Environmental Science 11 18%
Biochemistry, Genetics and Molecular Biology 9 15%
Engineering 6 10%
Immunology and Microbiology 2 3%
Other 4 6%
Unknown 17 27%
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 12 December 2018.
All research outputs
#3,964,652
of 23,016,919 outputs
Outputs from Science China Life Sciences
#160
of 1,009 outputs
Outputs of similar age
#87,047
of 443,116 outputs
Outputs of similar age from Science China Life Sciences
#4
of 34 outputs
Altmetric has tracked 23,016,919 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 1,009 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done well, scoring higher than 84% 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 443,116 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 80% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.