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A Poisson process reparameterisation for Bayesian inference for extremes

Overview of attention for article published in Extremes, December 2016
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1 X user

Citations

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Readers on

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11 Mendeley
Title
A Poisson process reparameterisation for Bayesian inference for extremes
Published in
Extremes, December 2016
DOI 10.1007/s10687-016-0280-2
Authors

Paul Sharkey, Jonathan A. Tawn

X Demographics

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Master 2 18%
Student > Doctoral Student 1 9%
Researcher 1 9%
Unknown 3 27%
Readers by discipline Count As %
Mathematics 5 45%
Biochemistry, Genetics and Molecular Biology 1 9%
Computer Science 1 9%
Earth and Planetary Sciences 1 9%
Unknown 3 27%
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 18 December 2016.
All research outputs
#16,491,392
of 24,266,964 outputs
Outputs from Extremes
#35
of 73 outputs
Outputs of similar age
#248,774
of 402,859 outputs
Outputs of similar age from Extremes
#1
of 1 outputs
Altmetric has tracked 24,266,964 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 73 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 34th percentile – i.e., 34% 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 402,859 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them