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An embedded machine learning strategy for analyzing interfacial characteristics in impact welding of dissimilar alloys

Overview of attention for article published in Composite Interfaces, December 2023
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Title
An embedded machine learning strategy for analyzing interfacial characteristics in impact welding of dissimilar alloys
Published in
Composite Interfaces, December 2023
DOI 10.1080/09276440.2023.2298124
Authors

Arif Sari, Candra Zonyfar, Shavan Askar, Sherzod Abdullaev, Raaid Alubady, M. K. Sharma

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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 17 January 2024.
All research outputs
#17,136,019
of 25,175,727 outputs
Outputs from Composite Interfaces
#59
of 77 outputs
Outputs of similar age
#127,900
of 247,022 outputs
Outputs of similar age from Composite Interfaces
#1
of 1 outputs
Altmetric has tracked 25,175,727 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 77 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 19th percentile – i.e., 19% 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 247,022 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% 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