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Influence of Fuels, Weather and the Built Environment on the Exposure of Property to Wildfire

Overview of attention for article published in PLOS ONE, October 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets
policy
1 policy source
twitter
17 X users

Citations

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33 Dimensions

Readers on

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82 Mendeley
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Title
Influence of Fuels, Weather and the Built Environment on the Exposure of Property to Wildfire
Published in
PLOS ONE, October 2014
DOI 10.1371/journal.pone.0111414
Pubmed ID
Authors

Trent D. Penman, Luke Collins, Alexandra D. Syphard, Jon E. Keeley, Ross A. Bradstock

Abstract

Wildfires can pose a significant risk to people and property. Billions of dollars are spent investing in fire management actions in an attempt to reduce the risk of loss. One of the key areas where money is spent is through fuel treatment - either fuel reduction (prescribed fire) or fuel removal (fuel breaks). Individual treatments can influence fire size and the maximum distance travelled from the ignition and presumably risk, but few studies have examined the landscape level effectiveness of these treatments. Here we use a Bayesian Network model to examine the relative influence of the built and natural environment, weather, fuel and fuel treatments in determining the risk posed from wildfire to the wildland-urban interface. Fire size and distance travelled was influenced most strongly by weather, with exposure to fires most sensitive to changes in the built environment and fire parameters. Natural environment variables and fuel load all had minor influences on fire size, distance travelled and exposure of assets. These results suggest that management of fuels provided minimal reductions in risk to assets and adequate planning of the changes in the built environment to cope with the expansion of human populations is going to be vital for managing risk from fire under future climates.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 1%
United States 1 1%
Italy 1 1%
Unknown 79 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 23%
Student > Ph. D. Student 13 16%
Student > Master 9 11%
Other 9 11%
Student > Bachelor 4 5%
Other 8 10%
Unknown 20 24%
Readers by discipline Count As %
Environmental Science 20 24%
Agricultural and Biological Sciences 14 17%
Earth and Planetary Sciences 7 9%
Engineering 4 5%
Medicine and Dentistry 2 2%
Other 8 10%
Unknown 27 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 16 April 2022.
All research outputs
#1,326,956
of 25,255,356 outputs
Outputs from PLOS ONE
#16,752
of 219,136 outputs
Outputs of similar age
#14,870
of 267,774 outputs
Outputs of similar age from PLOS ONE
#400
of 5,169 outputs
Altmetric has tracked 25,255,356 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 219,136 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 92% 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 267,774 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 94% of its contemporaries.
We're also able to compare this research output to 5,169 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 92% of its contemporaries.