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The application of prototype point processes for the summary and description of California wildfires

Overview of attention for article published in Journal of Time Series Analysis, June 2011
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 310)
  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
15 Mendeley
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Title
The application of prototype point processes for the summary and description of California wildfires
Published in
Journal of Time Series Analysis, June 2011
DOI 10.1111/j.1467-9892.2011.00734.x
Authors

Kevin Nichols, Frederic Paik Schoenberg, Jon E. Keeley, Andrew Bray, David Diez

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
South Africa 1 7%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 60%
Student > Ph. D. Student 3 20%
Other 2 13%
Student > Bachelor 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 33%
Environmental Science 3 20%
Mathematics 3 20%
Computer Science 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 0 0%
Unknown 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 April 2015.
All research outputs
#6,073,518
of 18,734,754 outputs
Outputs from Journal of Time Series Analysis
#34
of 310 outputs
Outputs of similar age
#142,014
of 405,362 outputs
Outputs of similar age from Journal of Time Series Analysis
#2
of 15 outputs
Altmetric has tracked 18,734,754 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done well, scoring higher than 80% 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 405,362 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 15 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.