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
32 news outlets
blogs
17 blogs
twitter
297 tweeters
facebook
128 Facebook pages
googleplus
49 Google+ users
reddit
4 Redditors
video
1 video uploader

Readers on

mendeley
187 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 297 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 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 6%
Germany 3 2%
Brazil 3 2%
France 2 1%
Chile 2 1%
Sweden 2 1%
Canada 2 1%
Switzerland 2 1%
United Kingdom 2 1%
Other 14 7%
Unknown 143 76%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 27%
Researcher 38 20%
Student > Master 30 16%
Student > Bachelor 29 16%
Student > Postgraduate 10 5%
Other 30 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 110 59%
Earth and Planetary Sciences 23 12%
Environmental Science 19 10%
Biochemistry, Genetics and Molecular Biology 10 5%
Physics and Astronomy 6 3%
Other 19 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 711. 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 20 February 2017.
All research outputs
#2,955
of 7,437,114 outputs
Outputs from PLoS ONE
#93
of 106,449 outputs
Outputs of similar age
#40
of 121,679 outputs
Outputs of similar age from PLoS ONE
#6
of 3,815 outputs
Altmetric has tracked 7,437,114 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 106,449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 121,679 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 3,815 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.