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Variation of microbial communities and functional genes during the biofilm formation in raw water distribution systems and associated effects on the transformation of nitrogen pollutants

Overview of attention for article published in Environmental Science and Pollution Research, May 2017
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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 (93rd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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13 Dimensions

Readers on

mendeley
28 Mendeley
Title
Variation of microbial communities and functional genes during the biofilm formation in raw water distribution systems and associated effects on the transformation of nitrogen pollutants
Published in
Environmental Science and Pollution Research, May 2017
DOI 10.1007/s11356-017-9125-z
Pubmed ID
Authors

Wei Chen, Yanmei Gu, Hang Xu, Zhigang Liu, Chunhui Lu, Chenshuo Lin

Abstract

This study aimed to investigate the variation of microbial communities and functional genes during the biofilm formation in raw water distribution systems without prechlorination and associated effects on the transformation of nitrogen pollutants by using a designed model pipe system. The results showed the transformation of nitrogen pollutants was obvious during the biofilm formation. The richness and diversity of the microbial communities changed significantly. The higher abundance of Nitrospirae in biofilm samples significantly contributed to biological nitrification. In particular, the stable content of Bacteroidetes in the biofilm and soluble microbial products released by the biomass might have enhanced the increase in dissolved organic nitrogen. In addition, the variation tendency of nitrogen functional gene abundances and their strong effects on NH4(+)-N, NO2(-)-N, and NO3(-)-N transformation were clearly observed. These findings provide new insights into the evolution of microbial communities and functional genes during the initial operation period of real-world raw water distribution pipes and highlight management and possible safety issues in the subsequent water treatment process.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 14%
Researcher 4 14%
Student > Ph. D. Student 4 14%
Student > Bachelor 2 7%
Other 1 4%
Other 2 7%
Unknown 11 39%
Readers by discipline Count As %
Environmental Science 5 18%
Engineering 4 14%
Biochemistry, Genetics and Molecular Biology 3 11%
Agricultural and Biological Sciences 1 4%
Chemical Engineering 1 4%
Other 2 7%
Unknown 12 43%
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 16 May 2017.
All research outputs
#4,358,230
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#776
of 9,883 outputs
Outputs of similar age
#73,358
of 312,543 outputs
Outputs of similar age from Environmental Science and Pollution Research
#16
of 230 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 312,543 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 230 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 93% of its contemporaries.