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Low-dimensional Cox-Ingersoll-Ross process

Overview of attention for article published in Stochastics An International Journal of Probability and Stochastic Processes, January 2024
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Title
Low-dimensional Cox-Ingersoll-Ross process
Published in
Stochastics An International Journal of Probability and Stochastic Processes, January 2024
DOI 10.1080/17442508.2023.2300291
Authors

Yuliya Mishura, Andrey Pilipenko, Anton Yurchenko-Tytarenko

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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 11 January 2024.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from Stochastics An International Journal of Probability and Stochastic Processes
#74
of 98 outputs
Outputs of similar age
#266,568
of 326,917 outputs
Outputs of similar age from Stochastics An International Journal of Probability and Stochastic Processes
#1
of 1 outputs
Altmetric has tracked 25,394,764 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 98 research outputs from this source. They receive a mean Attention Score of 1.2. 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 326,917 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 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