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The patterns of bacterial community and relationships between sulfate-reducing bacteria and hydrochemistry in sulfate-polluted groundwater of Baogang rare earth tailings

Overview of attention for article published in Environmental Science and Pollution Research, August 2016
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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 (93rd percentile)

Mentioned by

blogs
1 blog
patent
1 patent

Citations

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11 Dimensions

Readers on

mendeley
25 Mendeley
Title
The patterns of bacterial community and relationships between sulfate-reducing bacteria and hydrochemistry in sulfate-polluted groundwater of Baogang rare earth tailings
Published in
Environmental Science and Pollution Research, August 2016
DOI 10.1007/s11356-016-7381-y
Pubmed ID
Authors

Xinli An, Paul Baker, Hu Li, Jianqiang Su, Changping Yu, Chao Cai

Abstract

Microorganisms are the primary agents responsible for the modification, degradation, and/or detoxification of pollutants, and thus, they play a major role in their natural attenuation; yet, little is known about the structure and diversity of the subsurface community and relationships between microbial community and groundwater hydrochemistry. In this study, denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (T-RFLP) allowed a comparative microbial community analysis of sulfate-contaminated groundwater samples from nine different wells in the region of Baogang rare earth tailings. Using real-time PCR, the abundance of total bacteria and the sulfate-reducing genes of aprA and dsrB were quantified. Statistical analyses showed a clear distinction of the microbial community diversity between the contaminated and uncontaminated samples, with Proteobacteria being the most dominant members of the microbial community. SO4 (2-) concentrations exerted a significant effect on the variation of the bacterial community (P < 0.05), with higher concentrations of sulfate reducing the microbial diversity (H' index), indicating that human activity (e.g., mining industries) was a possible factor disturbing the structure of the bacterial community. Quantitative analysis of the functional genes showed that the proportions of dsrB to total bacteria were 0.002-2.85 %, and the sulfate-reducing bacteria (SRB) were predominant within the prokaryotic community in the groundwater. The uncontaminated groundwater with low sulfate concentration harbored higher abundance of SRB than that in the polluted samples, while no significant correlation was observed between sulfate concentrations and SRB abundances in this study, suggesting other environmental factors possibly contributed to different distributions and abundances of SRB in the different sites. The results should facilitate expanded studies to identify robust microbe-environment interactions and provide a strong foundation for qualitative exploration of the bacterial diversity in rare earth tailings groundwater that might ultimately be incorporated into the remediation of environmental contamination.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 24%
Researcher 3 12%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Other 1 4%
Other 4 16%
Unknown 6 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 24%
Environmental Science 5 20%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Immunology and Microbiology 1 4%
Other 4 16%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 18 October 2018.
All research outputs
#3,991,602
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#670
of 9,883 outputs
Outputs of similar age
#69,449
of 360,187 outputs
Outputs of similar age from Environmental Science and Pollution Research
#11
of 180 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 83rd 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 93% 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 360,187 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 180 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.