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積分表現ニューラルネットとリッジレット変換

Overview of attention for article published in Bulletin of the Japan Society for Industrial and Applied Mathematics, June 2023
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Title
積分表現ニューラルネットとリッジレット変換
Published in
Bulletin of the Japan Society for Industrial and Applied Mathematics, June 2023
DOI 10.11540/bjsiam.33.1_4
Authors

園田 翔

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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 13 October 2023.
All research outputs
#21,049,824
of 25,852,155 outputs
Outputs from Bulletin of the Japan Society for Industrial and Applied Mathematics
#78
of 96 outputs
Outputs of similar age
#276,514
of 376,137 outputs
Outputs of similar age from Bulletin of the Japan Society for Industrial and Applied Mathematics
#1
of 1 outputs
Altmetric has tracked 25,852,155 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 96 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 2nd percentile – i.e., 2% 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 376,137 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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