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Comparative and Joint Analysis of Two Metagenomic Datasets from a Biogas Fermenter Obtained by 454-Pyrosequencing

Overview of attention for article published in PLOS ONE, January 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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5 Wikipedia pages
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1 Q&A thread

Citations

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219 Dimensions

Readers on

mendeley
289 Mendeley
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4 CiteULike
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Title
Comparative and Joint Analysis of Two Metagenomic Datasets from a Biogas Fermenter Obtained by 454-Pyrosequencing
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0014519
Pubmed ID
Authors

Sebastian Jaenicke, Christina Ander, Thomas Bekel, Regina Bisdorf, Marcus Dröge, Karl-Heinz Gartemann, Sebastian Jünemann, Olaf Kaiser, Lutz Krause, Felix Tille, Martha Zakrzewski, Alfred Pühler, Andreas Schlüter, Alexander Goesmann

Abstract

Biogas production from renewable resources is attracting increased attention as an alternative energy source due to the limited availability of traditional fossil fuels. Many countries are promoting the use of alternative energy sources for sustainable energy production. In this study, a metagenome from a production-scale biogas fermenter was analysed employing Roche's GS FLX Titanium technology and compared to a previous dataset obtained from the same community DNA sample that was sequenced on the GS FLX platform. Taxonomic profiling based on 16S rRNA-specific sequences and an Environmental Gene Tag (EGT) analysis employing CARMA demonstrated that both approaches benefit from the longer read lengths obtained on the Titanium platform. Results confirmed Clostridia as the most prevalent taxonomic class, whereas species of the order Methanomicrobiales are dominant among methanogenic Archaea. However, the analyses also identified additional taxa that were missed by the previous study, including members of the genera Streptococcus, Acetivibrio, Garciella, Tissierella, and Gelria, which might also play a role in the fermentation process leading to the formation of methane. Taking advantage of the CARMA feature to correlate taxonomic information of sequences with their assigned functions, it appeared that Firmicutes, followed by Bacteroidetes and Proteobacteria, dominate within the functional context of polysaccharide degradation whereas Methanomicrobiales represent the most abundant taxonomic group responsible for methane production. Clostridia is the most important class involved in the reductive CoA pathway (Wood-Ljungdahl pathway) that is characteristic for acetogenesis. Based on binning of 16S rRNA-specific sequences allocated to the dominant genus Methanoculleus, it could be shown that this genus is represented by several different species. Phylogenetic analysis of these sequences placed them in close proximity to the hydrogenotrophic methanogen Methanoculleus bourgensis. While rarefaction analyses still indicate incomplete coverage, examination of the GS FLX Titanium dataset resulted in the identification of additional genera and functional elements, providing a far more complete coverage of the community involved in anaerobic fermentative pathways leading to methane formation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 1%
France 2 <1%
United States 2 <1%
Slovenia 2 <1%
Sweden 2 <1%
United Kingdom 2 <1%
India 2 <1%
Germany 1 <1%
Australia 1 <1%
Other 4 1%
Unknown 267 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 23%
Researcher 67 23%
Student > Master 36 12%
Student > Bachelor 16 6%
Student > Doctoral Student 14 5%
Other 55 19%
Unknown 34 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 132 46%
Environmental Science 38 13%
Engineering 18 6%
Biochemistry, Genetics and Molecular Biology 15 5%
Computer Science 8 3%
Other 26 9%
Unknown 52 18%
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 22 March 2020.
All research outputs
#5,500,307
of 22,649,029 outputs
Outputs from PLOS ONE
#66,579
of 193,361 outputs
Outputs of similar age
#41,134
of 182,510 outputs
Outputs of similar age from PLOS ONE
#487
of 1,279 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,361 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 65% 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 182,510 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 1,279 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 61% of its contemporaries.