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Volatility and dependence in cryptocurrency and financial markets: a copula approach

Overview of attention for article published in Studies in Nonlinear Dynamics & Econometrics, January 2023
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1 X user

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16 Mendeley
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Title
Volatility and dependence in cryptocurrency and financial markets: a copula approach
Published in
Studies in Nonlinear Dynamics & Econometrics, January 2023
DOI 10.1515/snde-2022-0029
Authors

Jinan Liu, Apostolos Serletis

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Student > Doctoral Student 2 13%
Student > Postgraduate 1 6%
Professor > Associate Professor 1 6%
Unknown 10 63%
Readers by discipline Count As %
Business, Management and Accounting 4 25%
Arts and Humanities 1 6%
Economics, Econometrics and Finance 1 6%
Unknown 10 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 January 2023.
All research outputs
#18,719,497
of 23,202,641 outputs
Outputs from Studies in Nonlinear Dynamics & Econometrics
#31
of 45 outputs
Outputs of similar age
#273,712
of 406,892 outputs
Outputs of similar age from Studies in Nonlinear Dynamics & Econometrics
#2
of 2 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 45 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 14 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 406,892 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
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.