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Estimating wildfire growth from noisy and incomplete incident data using a state space model

Overview of attention for article published in Environmental and Ecological Statistics, May 2018
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1 X user

Citations

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Readers on

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13 Mendeley
Title
Estimating wildfire growth from noisy and incomplete incident data using a state space model
Published in
Environmental and Ecological Statistics, May 2018
DOI 10.1007/s10651-018-0407-5
Authors

Harry Podschwit, Peter Guttorp, Narasimhan Larkin, E. Ashley Steel

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X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Researcher 2 15%
Student > Ph. D. Student 2 15%
Student > Doctoral Student 1 8%
Other 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Earth and Planetary Sciences 3 23%
Mathematics 2 15%
Agricultural and Biological Sciences 1 8%
Environmental Science 1 8%
Physics and Astronomy 1 8%
Other 1 8%
Unknown 4 31%
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 25 May 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Environmental and Ecological Statistics
#166
of 220 outputs
Outputs of similar age
#302,733
of 344,607 outputs
Outputs of similar age from Environmental and Ecological Statistics
#3
of 5 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 220 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.