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Conditional and dynamic convex risk measures

Overview of attention for article published in Finance and Stochastics, October 2005
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
256 Dimensions

Readers on

mendeley
46 Mendeley
Title
Conditional and dynamic convex risk measures
Published in
Finance and Stochastics, October 2005
DOI 10.1007/s00780-005-0159-6
Authors

Kai Detlefsen, Giacomo Scandolo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Venezuela, Bolivarian Republic of 1 2%
Italy 1 2%
Australia 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Ph. D. Student 9 20%
Student > Doctoral Student 5 11%
Professor > Associate Professor 5 11%
Student > Master 5 11%
Other 5 11%
Unknown 6 13%
Readers by discipline Count As %
Business, Management and Accounting 9 20%
Economics, Econometrics and Finance 9 20%
Mathematics 8 17%
Engineering 5 11%
Computer Science 3 7%
Other 2 4%
Unknown 10 22%
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 13 August 2014.
All research outputs
#7,863,403
of 23,842,189 outputs
Outputs from Finance and Stochastics
#13
of 67 outputs
Outputs of similar age
#21,240
of 60,291 outputs
Outputs of similar age from Finance and Stochastics
#1
of 1 outputs
Altmetric has tracked 23,842,189 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 67 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 60,291 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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