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Dissecting microbial community structure and methane-producing pathways of a full-scale anaerobic reactor digesting activated sludge from wastewater treatment by metagenomic sequencing

Overview of attention for article published in Microbial Cell Factories, March 2015
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5 X users

Citations

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496 Mendeley
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Title
Dissecting microbial community structure and methane-producing pathways of a full-scale anaerobic reactor digesting activated sludge from wastewater treatment by metagenomic sequencing
Published in
Microbial Cell Factories, March 2015
DOI 10.1186/s12934-015-0218-4
Pubmed ID
Authors

Jianhua Guo, Yongzhen Peng, Bing-Jie Ni, Xiaoyu Han, Lu Fan, Zhiguo Yuan

Abstract

Anaerobic digestion has been widely applied to treat the waste activated sludge from biological wastewater treatment and produce methane for biofuel, which has been one of the most efficient solutions to both energy crisis and environmental pollution challenges. Anaerobic digestion sludge contains highly complex microbial communities, which play crucial roles in sludge treatment. However, traditional approaches based on 16S rRNA amplification or fluorescent in situ hybridization cannot completely reveal the whole microbial community structure due to the extremely high complexity of the involved communities. In this sense, the next-generation high-throughput sequencing provides a powerful tool for dissecting microbial community structure and methane-producing pathways in anaerobic digestion.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 496 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Indonesia 1 <1%
Chile 1 <1%
France 1 <1%
Germany 1 <1%
India 1 <1%
China 1 <1%
Croatia 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 486 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 103 21%
Student > Master 66 13%
Researcher 55 11%
Student > Bachelor 47 9%
Student > Doctoral Student 41 8%
Other 75 15%
Unknown 109 22%
Readers by discipline Count As %
Environmental Science 87 18%
Engineering 69 14%
Agricultural and Biological Sciences 69 14%
Biochemistry, Genetics and Molecular Biology 43 9%
Chemical Engineering 17 3%
Other 54 11%
Unknown 157 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 February 2016.
All research outputs
#14,286,379
of 24,383,935 outputs
Outputs from Microbial Cell Factories
#862
of 1,719 outputs
Outputs of similar age
#128,226
of 266,029 outputs
Outputs of similar age from Microbial Cell Factories
#17
of 37 outputs
Altmetric has tracked 24,383,935 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 1,719 research outputs from this source. They receive a mean Attention Score of 4.8. 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 266,029 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% 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 gotten more attention than average, scoring higher than 54% of its contemporaries.