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Vector generalized linear and additive extreme value models

Overview of attention for article published in Extremes, June 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
115 Dimensions

Readers on

mendeley
124 Mendeley
citeulike
1 CiteULike
Title
Vector generalized linear and additive extreme value models
Published in
Extremes, June 2007
DOI 10.1007/s10687-007-0032-4
Authors

Thomas W. Yee, Alec G. Stephenson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Réunion 1 <1%
Israel 1 <1%
France 1 <1%
Iceland 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Nigeria 1 <1%
Unknown 115 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 29%
Researcher 28 23%
Student > Master 14 11%
Professor 8 6%
Professor > Associate Professor 6 5%
Other 17 14%
Unknown 15 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 23%
Earth and Planetary Sciences 19 15%
Mathematics 17 14%
Social Sciences 10 8%
Environmental Science 6 5%
Other 23 19%
Unknown 21 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 January 2017.
All research outputs
#5,623,865
of 22,901,818 outputs
Outputs from Extremes
#6
of 69 outputs
Outputs of similar age
#20,167
of 70,526 outputs
Outputs of similar age from Extremes
#1
of 1 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 91% of its peers.
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 70,526 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
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