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Bayesian hierarchical models for analysing spatial point-based data at a grid level: a comparison of approaches

Overview of attention for article published in Environmental & Ecological Statistics, September 2014
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Mentioned by

twitter
1 tweeter

Citations

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1 Dimensions

Readers on

mendeley
51 Mendeley
Title
Bayesian hierarchical models for analysing spatial point-based data at a grid level: a comparison of approaches
Published in
Environmental & Ecological Statistics, September 2014
DOI 10.1007/s10651-014-0299-y
Authors

Su Yun Kang, James McGree, Kerrie Mengersen

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Switzerland 1 2%
Italy 1 2%
Canada 1 2%
Spain 1 2%
Unknown 46 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 12%
Student > Doctoral Student 4 8%
Student > Ph. D. Student 4 8%
Student > Master 4 8%
Student > Postgraduate 3 6%
Other 3 6%
Unknown 27 53%
Readers by discipline Count As %
Environmental Science 5 10%
Mathematics 5 10%
Social Sciences 4 8%
Agricultural and Biological Sciences 3 6%
Earth and Planetary Sciences 2 4%
Other 5 10%
Unknown 27 53%

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 18 May 2015.
All research outputs
#9,841,357
of 12,322,982 outputs
Outputs from Environmental & Ecological Statistics
#56
of 131 outputs
Outputs of similar age
#165,219
of 235,844 outputs
Outputs of similar age from Environmental & Ecological Statistics
#2
of 6 outputs
Altmetric has tracked 12,322,982 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 41st percentile – i.e., 41% 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 235,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.