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Portfolio optimization when risk factors are conditionally varying and heavy tailed

Overview of attention for article published in Computational Economics, January 2007
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About this Attention Score

  • Among the highest-scoring outputs from this source (#45 of 190)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
18 Mendeley
citeulike
1 CiteULike
Title
Portfolio optimization when risk factors are conditionally varying and heavy tailed
Published in
Computational Economics, January 2007
DOI 10.1007/s10614-006-9071-1
Authors

Toker Doganoglu, Christoph Hartz, Stefan Mittnik

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Germany 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Student > Ph. D. Student 3 17%
Other 2 11%
Researcher 2 11%
Professor 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 22%
Business, Management and Accounting 3 17%
Computer Science 3 17%
Mathematics 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 11%
Unknown 4 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 19 May 2015.
All research outputs
#7,462,180
of 22,813,792 outputs
Outputs from Computational Economics
#45
of 190 outputs
Outputs of similar age
#42,429
of 157,536 outputs
Outputs of similar age from Computational Economics
#1
of 1 outputs
Altmetric has tracked 22,813,792 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 190 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 157,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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