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Wildland Fire Spread Modeling Using Convolutional Neural Networks

Overview of attention for article published in Fire Technology, March 2019
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Mentioned by

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2 X users

Citations

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Readers on

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122 Mendeley
Title
Wildland Fire Spread Modeling Using Convolutional Neural Networks
Published in
Fire Technology, March 2019
DOI 10.1007/s10694-019-00846-4
Authors

Jonathan L. Hodges, Brian Y. Lattimer

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 20%
Student > Master 17 14%
Researcher 16 13%
Lecturer 8 7%
Student > Doctoral Student 6 5%
Other 17 14%
Unknown 34 28%
Readers by discipline Count As %
Engineering 33 27%
Computer Science 14 11%
Earth and Planetary Sciences 11 9%
Environmental Science 6 5%
Unspecified 5 4%
Other 9 7%
Unknown 44 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 March 2019.
All research outputs
#15,567,535
of 23,138,859 outputs
Outputs from Fire Technology
#539
of 799 outputs
Outputs of similar age
#219,848
of 351,782 outputs
Outputs of similar age from Fire Technology
#16
of 21 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 799 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 351,782 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.