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Subglacial Lake Vostok (Antarctica) Accretion Ice Contains a Diverse Set of Sequences from Aquatic, Marine and Sediment-Inhabiting Bacteria and Eukarya

Overview of attention for article published in PLoS ONE, July 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
34 news outlets
blogs
18 blogs
twitter
293 tweeters
facebook
133 Facebook pages
googleplus
49 Google+ users
reddit
4 Redditors
video
1 video uploader

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
232 Mendeley
citeulike
1 CiteULike
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Title
Subglacial Lake Vostok (Antarctica) Accretion Ice Contains a Diverse Set of Sequences from Aquatic, Marine and Sediment-Inhabiting Bacteria and Eukarya
Published in
PLoS ONE, July 2013
DOI 10.1371/journal.pone.0067221
Pubmed ID
Authors

Yury M. Shtarkman, Zeynep A. Koçer, Robyn Edgar, Ram S. Veerapaneni, Tom D’Elia, Paul F. Morris, Scott O. Rogers

Abstract

Lake Vostok, the 7(th) largest (by volume) and 4(th) deepest lake on Earth, is covered by more than 3,700 m of ice, making it the largest subglacial lake known. The combination of cold, heat (from possible hydrothermal activity), pressure (from the overriding glacier), limited nutrients and complete darkness presents extreme challenges to life. Here, we report metagenomic/metatranscriptomic sequence analyses from four accretion ice sections from the Vostok 5G ice core. Two sections accreted in the vicinity of an embayment on the southwestern end of the lake, and the other two represented part of the southern main basin. We obtained 3,507 unique gene sequences from concentrates of 500 ml of 0.22 µm-filtered accretion ice meltwater. Taxonomic classifications (to genus and/or species) were possible for 1,623 of the sequences. Species determinations in combination with mRNA gene sequence results allowed deduction of the metabolic pathways represented in the accretion ice and, by extension, in the lake. Approximately 94% of the sequences were from Bacteria and 6% were from Eukarya. Only two sequences were from Archaea. In general, the taxa were similar to organisms previously described from lakes, brackish water, marine environments, soil, glaciers, ice, lake sediments, deep-sea sediments, deep-sea thermal vents, animals and plants. Sequences from aerobic, anaerobic, psychrophilic, thermophilic, halophilic, alkaliphilic, acidophilic, desiccation-resistant, autotrophic and heterotrophic organisms were present, including a number from multicellular eukaryotes.

Twitter Demographics

The data shown below were collected from the profiles of 293 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 5%
Germany 3 1%
Brazil 3 1%
Chile 2 <1%
United Kingdom 2 <1%
Switzerland 2 <1%
France 2 <1%
Canada 2 <1%
Sweden 2 <1%
Other 14 6%
Unknown 188 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 24%
Researcher 44 19%
Student > Bachelor 37 16%
Student > Master 37 16%
Professor > Associate Professor 11 5%
Other 47 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 112 48%
Earth and Planetary Sciences 27 12%
Environmental Science 23 10%
Biochemistry, Genetics and Molecular Biology 17 7%
Immunology and Microbiology 11 5%
Other 42 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 724. 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 08 February 2019.
All research outputs
#7,218
of 13,093,311 outputs
Outputs from PLoS ONE
#159
of 140,868 outputs
Outputs of similar age
#60
of 151,218 outputs
Outputs of similar age from PLoS ONE
#6
of 3,921 outputs
Altmetric has tracked 13,093,311 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 140,868 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 99% 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 151,218 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 99% of its contemporaries.
We're also able to compare this research output to 3,921 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 99% of its contemporaries.