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Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks

Overview of attention for article published in Scientific Reports, December 2015
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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)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
6 X users

Citations

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36 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
1 CiteULike
Title
Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks
Published in
Scientific Reports, December 2015
DOI 10.1038/srep18383
Pubmed ID
Authors

Amy B. Jordan, Philip H. Stauffer, Earl E. Knight, Esteban Rougier, Dale N. Anderson

Abstract

Underground nuclear weapon testing produces radionuclide gases which may seep to the surface. Barometric pumping of gas through explosion-fractured rock is investigated using a new sequentially-coupled hydrodynamic rock damage/gas transport model. Fracture networks are produced for two rock types (granite and tuff) and three depths of burial. The fracture networks are integrated into a flow and transport numerical model driven by surface pressure signals of differing amplitude and variability. There are major differences between predictions using a realistic fracture network and prior results that used a simplified geometry. Matrix porosity and maximum fracture aperture have the greatest impact on gas breakthrough time and window of opportunity for detection, with different effects between granite and tuff simulations highlighting the importance of accurately simulating the fracture network. In particular, maximum fracture aperture has an opposite effect on tuff and granite, due to different damage patterns and their effect on the barometric pumping process. From stochastic simulations using randomly generated hydrogeologic parameters, normalized detection curves are presented to show differences in optimal sampling time for granite and tuff simulations. Seasonal and location-based effects on breakthrough, which occur due to differences in barometric forcing, are stronger where the barometric signal is highly variable.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 31%
Student > Ph. D. Student 7 24%
Student > Master 3 10%
Professor 2 7%
Student > Doctoral Student 1 3%
Other 2 7%
Unknown 5 17%
Readers by discipline Count As %
Engineering 6 21%
Earth and Planetary Sciences 6 21%
Environmental Science 3 10%
Computer Science 2 7%
Physics and Astronomy 2 7%
Other 3 10%
Unknown 7 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 19 September 2017.
All research outputs
#706,710
of 25,655,374 outputs
Outputs from Scientific Reports
#7,675
of 142,318 outputs
Outputs of similar age
#11,358
of 381,625 outputs
Outputs of similar age from Scientific Reports
#169
of 2,737 outputs
Altmetric has tracked 25,655,374 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 142,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 94% 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 381,625 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 2,737 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 93% of its contemporaries.