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Model order reduction for the simulation of parametric interest rate models in financial risk analysis

Overview of attention for article published in Journal of Mathematics in Industry, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
4 Mendeley
Title
Model order reduction for the simulation of parametric interest rate models in financial risk analysis
Published in
Journal of Mathematics in Industry, June 2021
DOI 10.1186/s13362-021-00105-8
Authors

Andreas Binder, Onkar Jadhav, Volker Mehrmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Mathematics 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 June 2021.
All research outputs
#7,965,383
of 25,387,668 outputs
Outputs from Journal of Mathematics in Industry
#16
of 44 outputs
Outputs of similar age
#166,794
of 459,581 outputs
Outputs of similar age from Journal of Mathematics in Industry
#2
of 2 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 44 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one scored the same or higher as 28 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 459,581 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.