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Parameter reduction in log-normal chain-ladder models

Overview of attention for article published in European Actuarial Journal, August 2015
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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5 Mendeley
Title
Parameter reduction in log-normal chain-ladder models
Published in
European Actuarial Journal, August 2015
DOI 10.1007/s13385-015-0114-7
Authors

Richard J. Verrall, Mario V. Wüthrich

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Student > Bachelor 1 20%
Professor 1 20%
Unknown 1 20%
Readers by discipline Count As %
Mathematics 1 20%
Economics, Econometrics and Finance 1 20%
Medicine and Dentistry 1 20%
Unknown 2 40%
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 03 September 2015.
All research outputs
#20,326,948
of 22,870,727 outputs
Outputs from European Actuarial Journal
#24
of 30 outputs
Outputs of similar age
#223,966
of 266,723 outputs
Outputs of similar age from European Actuarial Journal
#1
of 1 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one scored the same or higher as 6 of them.
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 266,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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