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Comparison of the bacterial community composition in the granular and the suspended phase of sequencing batch reactors

Overview of attention for article published in AMB Express, September 2017
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  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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3 tweeters

Citations

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25 Dimensions

Readers on

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35 Mendeley
Title
Comparison of the bacterial community composition in the granular and the suspended phase of sequencing batch reactors
Published in
AMB Express, September 2017
DOI 10.1186/s13568-017-0471-5
Pubmed ID
Authors

Enikö Szabó, Raquel Liébana, Malte Hermansson, Oskar Modin, Frank Persson, Britt-Marie Wilén

Abstract

Granulation of activated sludge is an increasingly important area within the field of wastewater treatment. Granulation is usually achieved by high hydraulic selection pressure, which results in the wash-out of slow settling particles. The effect of the harsh wash-out conditions on the granular sludge ecosystem is not yet fully understood, but different bacterial groups may be affected to varying degrees. In this study, we used high-throughput amplicon sequencing to follow the community composition in granular sludge reactors for 12 weeks, both in the granular phase and the suspended phase (effluent). The microbiome of the washed out biomass was similar but not identical to the microbiome of the granular biomass. Certain taxa (e.g. Flavobacterium spp. and Bdellovibrio spp.) had significantly (p < 0.05) higher relative abundance in the granules compared to the effluent. Fluorescence in situ hybridization images indicated that these taxa were mainly located in the interior of granules and therefore protected from erosion. Other taxa (e.g. Meganema sp. and Zooglea sp.) had significantly lower relative abundance in the granules compared to the effluent, and appeared to be mainly located on the surface of granules and therefore subject to erosion. Despite being washed out, these taxa were among the most abundant members of the granular sludge communities and were likely growing fast in the reactors. The ratio between relative abundance in the granular biomass and in the effluent did not predict temporal variation of the taxa in the reactors, but it did appear to predict the spatial location of the taxa in the granules.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Student > Ph. D. Student 8 23%
Student > Master 8 23%
Student > Bachelor 1 3%
Student > Doctoral Student 1 3%
Other 0 0%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 23%
Environmental Science 6 17%
Engineering 5 14%
Immunology and Microbiology 4 11%
Chemistry 2 6%
Other 2 6%
Unknown 8 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 September 2017.
All research outputs
#6,717,797
of 11,732,910 outputs
Outputs from AMB Express
#167
of 702 outputs
Outputs of similar age
#127,167
of 263,888 outputs
Outputs of similar age from AMB Express
#7
of 34 outputs
Altmetric has tracked 11,732,910 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 702 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 69% 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 263,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 73% of its contemporaries.