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Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant

Overview of attention for article published in Giga Science, July 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
22 X users
patent
3 patents
peer_reviews
1 peer review site
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
173 Mendeley
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Title
Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant
Published in
Giga Science, July 2015
DOI 10.1186/s13742-015-0073-6
Pubmed ID
Authors

Andreas Bremges, Irena Maus, Peter Belmann, Felix Eikmeyer, Anika Winkler, Andreas Albersmeier, Alfred Pühler, Andreas Schlüter, Alexander Sczyrba

Abstract

The production of biogas takes place under anaerobic conditions and involves microbial decomposition of organic matter. Most of the participating microbes are still unknown and non-cultivable. Accordingly, shotgun metagenome sequencing currently is the method of choice to obtain insights into community composition and the genetic repertoire. Here, we report on the deeply sequenced metagenome and metatranscriptome of a complex biogas-producing microbial community from an agricultural production-scale biogas plant. We assembled the metagenome and, as an example application, show that we reconstructed most genes involved in the methane metabolism, a key pathway involving methanogenesis performed by methanogenic Archaea. This result indicates that there is sufficient sequencing coverage for most downstream analyses. Sequenced at least one order of magnitude deeper than previous studies, our metagenome data will enable new insights into community composition and the genetic potential of important community members. Moreover, mapping of transcripts to reconstructed genome sequences will enable the identification of active metabolic pathways in target organisms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 3%
United States 3 2%
Canada 2 1%
France 1 <1%
Japan 1 <1%
Germany 1 <1%
Unknown 160 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 25%
Researcher 32 18%
Student > Master 20 12%
Student > Bachelor 13 8%
Student > Doctoral Student 11 6%
Other 25 14%
Unknown 29 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 33%
Biochemistry, Genetics and Molecular Biology 30 17%
Environmental Science 17 10%
Engineering 10 6%
Computer Science 6 3%
Other 11 6%
Unknown 42 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 14 October 2020.
All research outputs
#656,657
of 25,806,080 outputs
Outputs from Giga Science
#62
of 1,182 outputs
Outputs of similar age
#7,461
of 275,844 outputs
Outputs of similar age from Giga Science
#1
of 14 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. This one has done particularly well, scoring higher than 94% 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 275,844 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 97% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.