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Random kernel k-nearest neighbors regression

Overview of attention for article published in Frontiers in Big Data, July 2024
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Title
Random kernel k-nearest neighbors regression
Published in
Frontiers in Big Data, July 2024
DOI 10.3389/fdata.2024.1402384
Authors

Patchanok Srisuradetchai, Korn Suksrikran

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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 01 July 2024.
All research outputs
#21,358,799
of 26,219,305 outputs
Outputs from Frontiers in Big Data
#381
of 498 outputs
Outputs of similar age
#94,124
of 144,524 outputs
Outputs of similar age from Frontiers in Big Data
#6
of 12 outputs
Altmetric has tracked 26,219,305 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 498 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 144,524 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% 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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.