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Bacterial communities in full-scale wastewater treatment systems

Overview of attention for article published in World Journal of Microbiology and Biotechnology, March 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 1,757)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
3 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
301 Dimensions

Readers on

mendeley
614 Mendeley
Title
Bacterial communities in full-scale wastewater treatment systems
Published in
World Journal of Microbiology and Biotechnology, March 2016
DOI 10.1007/s11274-016-2012-9
Pubmed ID
Authors

Agnieszka Cydzik-Kwiatkowska, Magdalena Zielińska

Abstract

Bacterial metabolism determines the effectiveness of biological treatment of wastewater. Therefore, it is important to define the relations between the species structure and the performance of full-scale installations. Although there is much laboratory data on microbial consortia, our understanding of dependencies between the microbial structure and operational parameters of full-scale wastewater treatment plants (WWTP) is limited. This mini-review presents the types of microbial consortia in WWTP. Information is given on extracellular polymeric substances production as factor that is key for formation of spatial structures of microorganisms. Additionally, we discuss data on microbial groups including nitrifiers, denitrifiers, Anammox bacteria, and phosphate- and glycogen-accumulating bacteria in full-scale aerobic systems that was obtained with the use of molecular techniques, including high-throughput sequencing, to shed light on dependencies between the microbial ecology of biomass and the overall efficiency and functional stability of wastewater treatment systems. Sludge bulking in WWTPs is addressed, as well as the microbial composition of consortia involved in antibiotic and micropollutant removal.

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 614 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 <1%
Unknown 613 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 138 22%
Student > Master 99 16%
Student > Bachelor 64 10%
Researcher 61 10%
Student > Doctoral Student 51 8%
Other 67 11%
Unknown 134 22%
Readers by discipline Count As %
Environmental Science 111 18%
Agricultural and Biological Sciences 79 13%
Engineering 73 12%
Biochemistry, Genetics and Molecular Biology 69 11%
Immunology and Microbiology 37 6%
Other 66 11%
Unknown 179 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 November 2017.
All research outputs
#863,397
of 23,911,072 outputs
Outputs from World Journal of Microbiology and Biotechnology
#7
of 1,757 outputs
Outputs of similar age
#15,463
of 301,957 outputs
Outputs of similar age from World Journal of Microbiology and Biotechnology
#1
of 37 outputs
Altmetric has tracked 23,911,072 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 1,757 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 99% 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 301,957 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 94% of its contemporaries.
We're also able to compare this research output to 37 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 97% of its contemporaries.