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Detecting a conditional extreme value model

Overview of attention for article published in Extremes, December 2009
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Mentioned by

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1 X user

Citations

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21 Dimensions

Readers on

mendeley
19 Mendeley
Title
Detecting a conditional extreme value model
Published in
Extremes, December 2009
DOI 10.1007/s10687-009-0097-3
Authors

Bikramjit Das, Sidney I. Resnick

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

Geographical breakdown

Country Count As %
India 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 53%
Student > Master 3 16%
Professor 3 16%
Other 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Readers by discipline Count As %
Economics, Econometrics and Finance 7 37%
Mathematics 4 21%
Engineering 3 16%
Earth and Planetary Sciences 3 16%
Computer Science 1 5%
Other 1 5%
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 09 September 2013.
All research outputs
#18,347,414
of 22,721,584 outputs
Outputs from Extremes
#54
of 69 outputs
Outputs of similar age
#151,420
of 165,073 outputs
Outputs of similar age from Extremes
#2
of 2 outputs
Altmetric has tracked 22,721,584 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 69 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 11th percentile – i.e., 11% 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 165,073 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.