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Incorporating statistical model error into the calculation of acceptability prices of contingent claims

Overview of attention for article published in Mathematical Programming, December 2018
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13 Mendeley
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Title
Incorporating statistical model error into the calculation of acceptability prices of contingent claims
Published in
Mathematical Programming, December 2018
DOI 10.1007/s10107-018-1352-7
Authors

Martin Glanzer, Georg Ch. Pflug, Alois Pichler

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 31%
Student > Ph. D. Student 3 23%
Student > Doctoral Student 2 15%
Lecturer 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Unspecified 4 31%
Mathematics 2 15%
Computer Science 2 15%
Decision Sciences 2 15%
Economics, Econometrics and Finance 1 8%
Other 1 8%
Unknown 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 January 2019.
All research outputs
#14,828,199
of 24,021,239 outputs
Outputs from Mathematical Programming
#386
of 699 outputs
Outputs of similar age
#234,486
of 442,549 outputs
Outputs of similar age from Mathematical Programming
#2
of 3 outputs
Altmetric has tracked 24,021,239 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 699 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 44th percentile – i.e., 44% 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 442,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.