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Randomized Quasi-Monte Carlo Methods on Triangles: Extensible Lattices and Sequences

Overview of attention for article published in Methodology and Computing in Applied Probability, April 2024
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Title
Randomized Quasi-Monte Carlo Methods on Triangles: Extensible Lattices and Sequences
Published in
Methodology and Computing in Applied Probability, April 2024
DOI 10.1007/s11009-024-10084-z
Authors

Gracia Yunruo Dong, Erik Hintz, Marius Hofert, Christiane Lemieux

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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 24 April 2024.
All research outputs
#17,577,360
of 25,770,491 outputs
Outputs from Methodology and Computing in Applied Probability
#44
of 98 outputs
Outputs of similar age
#73,865
of 147,288 outputs
Outputs of similar age from Methodology and Computing in Applied Probability
#1
of 1 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 1.6. This one is in the 42nd percentile – i.e., 42% 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 147,288 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% 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