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21st-century modeled permafrost carbon emissions accelerated by abrupt thaw beneath lakes

Overview of attention for article published in Nature Communications, August 2018
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
46 news outlets
blogs
9 blogs
policy
1 policy source
twitter
506 tweeters
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
reddit
5 Redditors

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
96 Mendeley
Title
21st-century modeled permafrost carbon emissions accelerated by abrupt thaw beneath lakes
Published in
Nature Communications, August 2018
DOI 10.1038/s41467-018-05738-9
Pubmed ID
Authors

Katey Walter Anthony, Thomas Schneider von Deimling, Ingmar Nitze, Steve Frolking, Abraham Emond, Ronald Daanen, Peter Anthony, Prajna Lindgren, Benjamin Jones, Guido Grosse

Abstract

Permafrost carbon feedback (PCF) modeling has focused on gradual thaw of near-surface permafrost leading to enhanced carbon dioxide and methane emissions that accelerate global climate warming. These state-of-the-art land models have yet to incorporate deeper, abrupt thaw in the PCF. Here we use model data, supported by field observations, radiocarbon dating, and remote sensing, to show that methane and carbon dioxide emissions from abrupt thaw beneath thermokarst lakes will more than double radiative forcing from circumpolar permafrost-soil carbon fluxes this century. Abrupt thaw lake emissions are similar under moderate and high representative concentration pathways (RCP4.5 and RCP8.5), but their relative contribution to the PCF is much larger under the moderate warming scenario. Abrupt thaw accelerates mobilization of deeply frozen, ancient carbon, increasing 14C-depleted permafrost soil carbon emissions by ~125-190% compared to gradual thaw alone. These findings demonstrate the need to incorporate abrupt thaw processes in earth system models for more comprehensive projection of the PCF this century.

Twitter Demographics

The data shown below were collected from the profiles of 506 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 27%
Researcher 17 18%
Unspecified 16 17%
Other 10 10%
Student > Master 9 9%
Other 18 19%
Readers by discipline Count As %
Unspecified 28 29%
Earth and Planetary Sciences 18 19%
Environmental Science 17 18%
Agricultural and Biological Sciences 9 9%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 20 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 703. 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 06 July 2019.
All research outputs
#7,853
of 13,235,895 outputs
Outputs from Nature Communications
#139
of 23,266 outputs
Outputs of similar age
#390
of 266,392 outputs
Outputs of similar age from Nature Communications
#1
of 469 outputs
Altmetric has tracked 13,235,895 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 23,266 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.0. 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 266,392 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 469 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.