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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
52 X users
facebook
1 Facebook page
wikipedia
6 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
260 Dimensions

Readers on

mendeley
367 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 52 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 367 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 362 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 22%
Researcher 62 17%
Student > Bachelor 49 13%
Student > Master 35 10%
Student > Doctoral Student 15 4%
Other 50 14%
Unknown 77 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 26%
Biochemistry, Genetics and Molecular Biology 73 20%
Environmental Science 47 13%
Immunology and Microbiology 23 6%
Earth and Planetary Sciences 14 4%
Other 22 6%
Unknown 92 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 84. 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
#478,499
of 24,383,935 outputs
Outputs from Nature Microbiology
#547
of 1,877 outputs
Outputs of similar age
#9,012
of 405,491 outputs
Outputs of similar age from Nature Microbiology
#16
of 60 outputs
Altmetric has tracked 24,383,935 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,877 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 96.1. 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 405,491 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.