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Attention Score in Context
Title |
Flow control by a hybrid use of machine learning and control theory
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Published in |
International Journal of Numerical Methods for Heat & Fluid Flow, August 2024
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DOI | 10.1108/hff-10-2023-0659 |
Authors |
Takeru Ishize, Hiroshi Omichi, Koji Fukagata |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
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 04 September 2024.
All research outputs
#23,712,388
of 26,429,553 outputs
Outputs from International Journal of Numerical Methods for Heat & Fluid Flow
#45
of 68 outputs
Outputs of similar age
#195,801
of 249,892 outputs
Outputs of similar age from International Journal of Numerical Methods for Heat & Fluid Flow
#3
of 3 outputs
Altmetric has tracked 26,429,553 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 68 research outputs from this source. They receive a mean Attention Score of 2.7. 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 249,892 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.