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Dual characterization of properties of risk measures on Orlicz hearts

Overview of attention for article published in Mathematics and Financial Economics, July 2008
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

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46 Dimensions

Readers on

mendeley
13 Mendeley
Title
Dual characterization of properties of risk measures on Orlicz hearts
Published in
Mathematics and Financial Economics, July 2008
DOI 10.1007/s11579-008-0013-7
Authors

Patrick Cheridito, Tianhui Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
South Africa 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Student > Doctoral Student 3 23%
Other 2 15%
Researcher 2 15%
Unknown 1 8%
Readers by discipline Count As %
Mathematics 5 38%
Business, Management and Accounting 2 15%
Economics, Econometrics and Finance 2 15%
Social Sciences 1 8%
Engineering 1 8%
Other 0 0%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 November 2017.
All research outputs
#7,542,164
of 23,009,818 outputs
Outputs from Mathematics and Financial Economics
#8
of 26 outputs
Outputs of similar age
#29,044
of 82,449 outputs
Outputs of similar age from Mathematics and Financial Economics
#1
of 1 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one scored the same or higher as 18 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 82,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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