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Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem

Overview of attention for article published in PLOS ONE, April 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
14 X users
peer_reviews
1 peer review site
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
116 Mendeley
citeulike
3 CiteULike
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Title
Assembly-Driven Community Genomics of a Hypersaline Microbial Ecosystem
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0061692
Pubmed ID
Authors

Sheila Podell, Juan A. Ugalde, Priya Narasingarao, Jillian F. Banfield, Karla B. Heidelberg, Eric E. Allen

Abstract

Microbial populations inhabiting a natural hypersaline lake ecosystem in Lake Tyrrell, Victoria, Australia, have been characterized using deep metagenomic sampling, iterative de novo assembly, and multidimensional phylogenetic binning. Composite genomes representing habitat-specific microbial populations were reconstructed for eleven different archaea and one bacterium, comprising between 0.6 and 14.1% of the planktonic community. Eight of the eleven archaeal genomes were from microbial species without previously cultured representatives. These new genomes provide habitat-specific reference sequences enabling detailed, lineage-specific compartmentalization of predicted functional capabilities and cellular properties associated with both dominant and less abundant community members, including organisms previously known only by their 16S rRNA sequences. Together, these data provide a comprehensive, culture-independent genomic blueprint for ecosystem-wide analysis of protein functions, population structure, and lifestyles of co-existing, co-evolving microbial groups within the same natural habitat. The "assembly-driven" community genomic approach demonstrated in this study advances our ability to push beyond single gene investigations, and promotes genome-scale reconstructions as a tangible goal in the quest to define the metabolic, ecological, and evolutionary dynamics that underpin environmental microbial diversity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 9%
Germany 1 <1%
Australia 1 <1%
Chile 1 <1%
Estonia 1 <1%
Saudi Arabia 1 <1%
Unknown 101 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 27%
Student > Ph. D. Student 29 25%
Student > Master 15 13%
Student > Bachelor 9 8%
Professor 5 4%
Other 11 9%
Unknown 16 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 52%
Biochemistry, Genetics and Molecular Biology 11 9%
Environmental Science 8 7%
Immunology and Microbiology 6 5%
Computer Science 5 4%
Other 9 8%
Unknown 17 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 17 November 2022.
All research outputs
#2,669,313
of 24,901,761 outputs
Outputs from PLOS ONE
#33,050
of 215,801 outputs
Outputs of similar age
#21,666
of 202,050 outputs
Outputs of similar age from PLOS ONE
#765
of 5,151 outputs
Altmetric has tracked 24,901,761 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 215,801 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 84% 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 202,050 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 89% of its contemporaries.
We're also able to compare this research output to 5,151 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.