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Re-examination of the relationship between marine virus and microbial cell abundances

Overview of attention for article published in Nature Microbiology, January 2016
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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)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
7 news outlets
twitter
51 X users
facebook
1 Facebook page
wikipedia
6 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
264 Dimensions

Readers on

mendeley
371 Mendeley
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Title
Re-examination of the relationship between marine virus and microbial cell abundances
Published in
Nature Microbiology, January 2016
DOI 10.1038/nmicrobiol.2015.24
Pubmed ID
Authors

Charles H. Wigington, Derek Sonderegger, Corina P. D. Brussaard, Alison Buchan, Jan F. Finke, Jed A. Fuhrman, Jay T. Lennon, Mathias Middelboe, Curtis A. Suttle, Charles Stock, William H. Wilson, K. Eric Wommack, Steven W. Wilhelm, Joshua S. Weitz

Abstract

Marine viruses are critical drivers of ocean biogeochemistry, and their abundances vary spatiotemporally in the global oceans, with upper estimates exceeding 10(8) per ml. Over many years, a consensus has emerged that virus abundances are typically tenfold higher than microbial cell abundances. However, the true explanatory power of a linear relationship and its robustness across diverse ocean environments is unclear. Here, we compile 5,671 microbial cell and virus abundance estimates from 25 distinct marine surveys and find substantial variation in the virus-to-microbial cell ratio, in which a 10:1 model has either limited or no explanatory power. Instead, virus abundances are better described as nonlinear, power-law functions of microbial cell abundances. The fitted scaling exponents are typically less than 1, implying that the virus-to-microbial cell ratio decreases with microbial cell density, rather than remaining fixed. The observed scaling also implies that viral effect sizes derived from 'representative' abundances require substantial refinement to be extrapolated to regional or global scales.

X Demographics

X Demographics

The data shown below were collected from the profiles of 51 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 371 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
France 1 <1%
Canada 1 <1%
Unknown 366 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 21%
Researcher 62 17%
Student > Bachelor 50 13%
Student > Master 35 9%
Student > Doctoral Student 15 4%
Other 51 14%
Unknown 79 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 26%
Biochemistry, Genetics and Molecular Biology 73 20%
Environmental Science 47 13%
Immunology and Microbiology 23 6%
Earth and Planetary Sciences 14 4%
Other 23 6%
Unknown 94 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 February 2021.
All research outputs
#522,886
of 25,813,008 outputs
Outputs from Nature Microbiology
#610
of 2,093 outputs
Outputs of similar age
#9,315
of 408,106 outputs
Outputs of similar age from Nature Microbiology
#15
of 60 outputs
Altmetric has tracked 25,813,008 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 2,093 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 95.6. This one has gotten more attention than average, scoring higher than 70% 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 408,106 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 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.