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Set-valued risk measures for conical market models

Overview of attention for article published in Mathematics and Financial Economics, June 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
10 Mendeley
Title
Set-valued risk measures for conical market models
Published in
Mathematics and Financial Economics, June 2011
DOI 10.1007/s11579-011-0047-0
Authors

Andreas H. Hamel, Frank Heyde, Birgit Rudloff

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Student > Doctoral Student 1 10%
Lecturer 1 10%
Professor 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 40%
Mathematics 3 30%
Business, Management and Accounting 1 10%
Engineering 1 10%
Unknown 1 10%
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 20 April 2012.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from Mathematics and Financial Economics
#8
of 26 outputs
Outputs of similar age
#40,675
of 111,264 outputs
Outputs of similar age from Mathematics and Financial Economics
#1
of 1 outputs
Altmetric has tracked 22,787,797 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 5.2. 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 111,264 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% 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