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Risk Connectedness Heterogeneity in the Cryptocurrency Markets

Overview of attention for article published in Frontiers in Physics, July 2020
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1 X user

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42 Mendeley
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Title
Risk Connectedness Heterogeneity in the Cryptocurrency Markets
Published in
Frontiers in Physics, July 2020
DOI 10.3389/fphy.2020.00243
Authors

Zhenghui Li, Yan Wang, Zhehao Huang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 10%
Student > Bachelor 4 10%
Other 3 7%
Lecturer 3 7%
Researcher 3 7%
Other 10 24%
Unknown 15 36%
Readers by discipline Count As %
Economics, Econometrics and Finance 12 29%
Business, Management and Accounting 11 26%
Social Sciences 2 5%
Computer Science 1 2%
Unspecified 1 2%
Other 0 0%
Unknown 15 36%
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 24 July 2020.
All research outputs
#20,631,102
of 23,223,705 outputs
Outputs from Frontiers in Physics
#1,650
of 3,660 outputs
Outputs of similar age
#340,987
of 398,322 outputs
Outputs of similar age from Frontiers in Physics
#66
of 132 outputs
Altmetric has tracked 23,223,705 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,660 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% 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 398,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.