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Microbial sequencing methods for monitoring of anaerobic treatment of antibiotics to optimize performance and prevent system failure

Overview of attention for article published in Applied Microbiology and Biotechnology, May 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
43 Mendeley
Title
Microbial sequencing methods for monitoring of anaerobic treatment of antibiotics to optimize performance and prevent system failure
Published in
Applied Microbiology and Biotechnology, May 2016
DOI 10.1007/s00253-016-7533-5
Pubmed ID
Authors

Sevcan Aydin

Abstract

As a result of developments in molecular technologies and the use of sequencing technologies, the analyses of the anaerobic microbial community in biological treatment process has become increasingly prevalent. This review examines the ways in which microbial sequencing methods can be applied to achieve an extensive understanding of the phylogenetic and functional characteristics of microbial assemblages in anaerobic reactor if the substrate is contaminated by antibiotics which is one of the most important toxic compounds. It will discuss some of the advantages and disadvantages associated with microbial sequencing techniques that are more commonly employed and will assess how a combination of the existing methods may be applied to develop a more comprehensive understanding of microbial communities and improve the validity and depth of the results for the enhancement of the stability of anaerobic reactors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 9 21%
Student > Doctoral Student 6 14%
Student > Master 5 12%
Student > Bachelor 4 9%
Other 6 14%
Unknown 4 9%
Readers by discipline Count As %
Environmental Science 10 23%
Agricultural and Biological Sciences 10 23%
Engineering 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Medicine and Dentistry 2 5%
Other 3 7%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 May 2016.
All research outputs
#6,192,096
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#2,239
of 8,034 outputs
Outputs of similar age
#84,012
of 302,944 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#26
of 133 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 71% 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 302,944 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 71% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.