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Modeling of Rolling Force for Thick Plate of Multicomponent Alloys and Its Application on Thickness Prediction

Overview of attention for article published in Frontiers in Materials, September 2021
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Title
Modeling of Rolling Force for Thick Plate of Multicomponent Alloys and Its Application on Thickness Prediction
Published in
Frontiers in Materials, September 2021
DOI 10.3389/fmats.2021.741144
Authors

Shun Hu Zhang, Jia Lin Xin, Li Zhi Che

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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 20 September 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Frontiers in Materials
#1,210
of 2,585 outputs
Outputs of similar age
#357,933
of 432,955 outputs
Outputs of similar age from Frontiers in Materials
#76
of 172 outputs
Altmetric has tracked 23,310,485 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 2,585 research outputs from this source. They receive a mean Attention Score of 1.4. 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 432,955 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 172 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.