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Attention Score in Context
| Title |
Enhanced prediction of anisotropic deformation behavior using machine learning with data augmentation
|
|---|---|
| Published in |
Journal of Magnesium and Alloys, January 2024
|
| DOI | 10.1016/j.jma.2023.12.007 |
| Authors |
Sujeong Byun, Jinyeong Yu, Seho Cheon, Seong Ho Lee, Sung Hyuk Park, Taekyung Lee |
Attention Score in Context
This research output has an Altmetric Attention Score of 100. 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 02 February 2024.
All research outputs
#416,111
of 25,292,378 outputs
Outputs from Journal of Magnesium and Alloys
#4
of 379 outputs
Outputs of similar age
#4,612
of 269,979 outputs
Outputs of similar age from Journal of Magnesium and Alloys
#1
of 6 outputs
Altmetric has tracked 25,292,378 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 379 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 99% 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 269,979 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 6 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