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Is it Possible to Study Chaotic and ARCH Behaviour Jointly? Application of a Noisy Mackey–Glass Equation with Heteroskedastic Errors to the Paris Stock Exchange Returns Series

Overview of attention for article published in Computational Economics, June 2003
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Mentioned by

wikipedia
5 Wikipedia pages

Citations

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44 Dimensions

Readers on

mendeley
26 Mendeley
Title
Is it Possible to Study Chaotic and ARCH Behaviour Jointly? Application of a Noisy Mackey–Glass Equation with Heteroskedastic Errors to the Paris Stock Exchange Returns Series
Published in
Computational Economics, June 2003
DOI 10.1023/a:1023939610962
Authors

Catherine Kyrtsou, Michel Terraza

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Student > Doctoral Student 5 19%
Professor > Associate Professor 5 19%
Professor 3 12%
Researcher 1 4%
Other 1 4%
Unknown 5 19%
Readers by discipline Count As %
Economics, Econometrics and Finance 8 31%
Computer Science 6 23%
Engineering 2 8%
Business, Management and Accounting 1 4%
Environmental Science 1 4%
Other 1 4%
Unknown 7 27%
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 15 November 2023.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Computational Economics
#54
of 242 outputs
Outputs of similar age
#18,501
of 53,651 outputs
Outputs of similar age from Computational Economics
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 242 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 57% 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 53,651 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% 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