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熱間仕上圧延における鋼板蛇行制御のための数式モデルとモデル予測制御の改善

Overview of attention for article published in Transactions of the JSME (in Japanese), November 2022
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Title
熱間仕上圧延における鋼板蛇行制御のための数式モデルとモデル予測制御の改善
Published in
Transactions of the JSME (in Japanese), November 2022
DOI 10.1299/transjsme.22-00097
Authors

Shigeru YAMAMOTO, Kosei HIGASHI, Sanga TAKAGI, Tokujiro HORIKAWA, Yukihiro YAMASAKI, Hiroto UJIKAWA

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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 22 January 2023.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from Transactions of the JSME (in Japanese)
#100
of 550 outputs
Outputs of similar age
#278,012
of 487,366 outputs
Outputs of similar age from Transactions of the JSME (in Japanese)
#4
of 5 outputs
Altmetric has tracked 25,392,582 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 550 research outputs from this source. They receive a mean Attention Score of 1.0. This one has gotten more attention than average, scoring higher than 68% 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 487,366 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.