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Sup-norm convergence rates for Lévy density estimation

Overview of attention for article published in Extremes, March 2016
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Title
Sup-norm convergence rates for Lévy density estimation
Published in
Extremes, March 2016
DOI 10.1007/s10687-016-0246-4
Authors

Valentin Konakov, Vladimir Panov

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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 11 March 2017.
All research outputs
#17,881,664
of 22,959,818 outputs
Outputs from Extremes
#46
of 69 outputs
Outputs of similar age
#204,789
of 299,932 outputs
Outputs of similar age from Extremes
#3
of 6 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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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 3 of them.