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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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Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
173 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

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Australia 3 2%
South Africa 3 2%
Switzerland 2 1%
France 1 <1%
Turkey 1 <1%
Spain 1 <1%
Argentina 1 <1%
Unknown 156 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 23%
Student > Ph. D. Student 35 20%
Student > Master 20 12%
Other 12 7%
Student > Bachelor 11 6%
Other 32 18%
Unknown 23 13%
Readers by discipline Count As %
Environmental Science 56 32%
Agricultural and Biological Sciences 51 29%
Earth and Planetary Sciences 12 7%
Engineering 8 5%
Mathematics 4 2%
Other 11 6%
Unknown 31 18%
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 24 May 2010.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Ecological Modelling
#1,652
of 2,342 outputs
Outputs of similar age
#143,837
of 172,632 outputs
Outputs of similar age from Ecological Modelling
#18
of 19 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,342 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 19th percentile – i.e., 19% 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 172,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.