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A Hierarchical Bayesian model of wildfire in a Mediterranean biodiversity hotspot: Implications of weather variability and global circulation

Overview of attention for article published in Ecological Modelling, January 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

f1000
1 research highlight platform

Readers on

mendeley
98 Mendeley
citeulike
1 CiteULike
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Title
A Hierarchical Bayesian model of wildfire in a Mediterranean biodiversity hotspot: Implications of weather variability and global circulation
Published in
Ecological Modelling, January 2010
DOI 10.1016/j.ecolmodel.2009.09.016
Authors

Adam M. Wilson, Andrew M. Latimer, John A. Silander, Alan E. Gelfand, Helen de Klerk

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 4 4%
United States 4 4%
Australia 3 3%
Switzerland 2 2%
Spain 1 1%
France 1 1%
Turkey 1 1%
Argentina 1 1%
Unknown 81 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 29%
Student > Ph. D. Student 27 28%
Student > Master 13 13%
Professor > Associate Professor 6 6%
Lecturer > Senior Lecturer 5 5%
Other 19 19%
Readers by discipline Count As %
Environmental Science 43 44%
Agricultural and Biological Sciences 34 35%
Earth and Planetary Sciences 7 7%
Unspecified 4 4%
Mathematics 4 4%
Other 6 6%

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 24 May 2010.
All research outputs
#2,016,309
of 3,629,240 outputs
Outputs from Ecological Modelling
#205
of 476 outputs
Outputs of similar age
#44,096
of 85,186 outputs
Outputs of similar age from Ecological Modelling
#3
of 16 outputs
Altmetric has tracked 3,629,240 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 476 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 37th percentile – i.e., 37% 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 85,186 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 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.