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A Monte Carlo Approach to Bitcoin Price Prediction with Fractional Ornstein–Uhlenbeck Lévy Process

Overview of attention for article published in Forecasting, March 2022
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 183)
  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
21 Mendeley
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Article details
Title
A Monte Carlo Approach to Bitcoin Price Prediction with Fractional Ornstein–Uhlenbeck Lévy Process
Published in
Forecasting, March 2022
DOI 10.3390/forecast4020023
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 4 19%
Lecturer > Senior Lecturer 1 5%
Student > Ph. D. Student 1 5%
Student > Master 1 5%
Researcher 1 5%
Other 1 5%
Unknown 12 57%
Readers by discipline
Readers by discipline Count As %
Computer Science 3 14%
Economics, Econometrics and Finance 3 14%
Mathematics 2 10%
Engineering 2 10%
Unknown 11 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 April 2024.
All research outputs
#16,348,317
of 25,813,008 outputs
Outputs from Forecasting
#35
of 183 outputs
Outputs of similar age
#235,885
of 449,878 outputs
Outputs of similar age from Forecasting
#2
of 12 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 183 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 72% 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 449,878 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.