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A comparison of dependence function estimators in multivariate extremes

Overview of attention for article published in Statistics and Computing, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 506)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
3 news outlets

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
16 Mendeley
Title
A comparison of dependence function estimators in multivariate extremes
Published in
Statistics and Computing, May 2017
DOI 10.1007/s11222-017-9745-7
Authors

Sabrina Vettori, Raphaël Huser, Marc G. Genton

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Student > Master 2 13%
Professor 1 6%
Lecturer 1 6%
Researcher 1 6%
Other 0 0%
Unknown 5 31%
Readers by discipline Count As %
Mathematics 8 50%
Earth and Planetary Sciences 2 13%
Computer Science 1 6%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 11 July 2017.
All research outputs
#1,500,166
of 22,986,950 outputs
Outputs from Statistics and Computing
#12
of 506 outputs
Outputs of similar age
#31,329
of 310,858 outputs
Outputs of similar age from Statistics and Computing
#1
of 6 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 506 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 310,858 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
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 all of them