↓ Skip to main content

A conceptual ecosystem model of microbial communities in enhanced biological phosphorus removal plants

Overview of attention for article published in Water Research, July 2010
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
240 Dimensions

Readers on

mendeley
315 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A conceptual ecosystem model of microbial communities in enhanced biological phosphorus removal plants
Published in
Water Research, July 2010
DOI 10.1016/j.watres.2010.07.036
Pubmed ID
Authors

Per Halkjær Nielsen, Artur Tomasz Mielczarek, Caroline Kragelund, Jeppe Lund Nielsen, Aaron Marc Saunders, Yunhong Kong, Aviaja Anna Hansen, Jes Vollertsen

Abstract

The microbial populations in 25 full-scale activated sludge wastewater treatment plants with enhanced biological phosphorus removal (EBPR plants) have been intensively studied over several years. Most of the important bacterial groups involved in nitrification, denitrification, biological P removal, fermentation, and hydrolysis have been identified and quantified using quantitative culture-independent molecular methods. Surprisingly, a limited number of core species was present in all plants, constituting on average approx. 80% of the entire communities in the plants, showing that the microbial populations in EBPR plants are rather similar and not very diverse, as sometimes suggested. By focusing on these organisms it is possible to make a comprehensive ecosystem model, where many important aspects in relation to microbial ecosystems and wastewater treatment can be investigated. We have reviewed the current knowledge about these microorganisms with focus on key ecophysiological factors and combined this into a conceptual ecosystem model for EBPR plants. It includes the major pathways of carbon flow with specific organic substances, the dominant populations involved in the transformations, interspecies interactions, and the key factors controlling their presence and activity. We believe that the EBPR process is a perfect model system for studies of microbial ecology in water engineering systems and that this conceptual model can be used for proposing and testing theories based on microbial ecosystem theories, for the development of new and improved quantitative ecosystem models and is beneficial for future design and management of wastewater treatment systems.

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

Geographical breakdown

Country Count As %
Denmark 5 2%
France 3 <1%
United States 3 <1%
Sweden 2 <1%
Hong Kong 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Brazil 1 <1%
Other 4 1%
Unknown 293 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 26%
Researcher 57 18%
Student > Master 47 15%
Student > Doctoral Student 20 6%
Student > Bachelor 18 6%
Other 52 17%
Unknown 40 13%
Readers by discipline Count As %
Environmental Science 92 29%
Agricultural and Biological Sciences 61 19%
Engineering 44 14%
Biochemistry, Genetics and Molecular Biology 30 10%
Chemical Engineering 6 2%
Other 22 7%
Unknown 60 19%
Attention Score in Context

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 July 2013.
All research outputs
#15,517,992
of 25,374,647 outputs
Outputs from Water Research
#6,106
of 11,875 outputs
Outputs of similar age
#76,260
of 95,503 outputs
Outputs of similar age from Water Research
#48
of 52 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,875 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 95,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.