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Local polynomial trend regression for spatial data on Rd

Overview of attention for article published in Bernoulli, November 2024
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Title
Local polynomial trend regression for spatial data on Rd
Published in
Bernoulli, November 2024
DOI 10.3150/23-bej1694
Authors

Daisuke Kurisu, Yasumasa Matsuda

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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 31 July 2024.
All research outputs
#16,452,873
of 26,411,953 outputs
Outputs from Bernoulli
#120
of 460 outputs
Outputs of similar age
#2,864
of 4,796 outputs
Outputs of similar age from Bernoulli
#1
of 1 outputs
Altmetric has tracked 26,411,953 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 460 research outputs from this source. They receive a mean Attention Score of 1.8. 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 4,796 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% 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