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3D numerical models using a fluid or a solid formulation of FSW processes with a non-cylindrical pin

Overview of attention for article published in Advanced Modeling and Simulation in Engineering Sciences, November 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

patent
1 patent
peer_reviews
1 peer review site

Readers on

mendeley
26 Mendeley
Title
3D numerical models using a fluid or a solid formulation of FSW processes with a non-cylindrical pin
Published in
Advanced Modeling and Simulation in Engineering Sciences, November 2015
DOI 10.1186/s40323-015-0048-2
Authors

Philippe Bussetta, Narges Dialami, Michele Chiumenti, Carlos Agelet de Saracibar, Miguel Cervera, Romain Boman, Jean-Philippe Ponthot

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 23%
Professor 5 19%
Student > Ph. D. Student 5 19%
Student > Master 4 15%
Student > Doctoral Student 1 4%
Other 4 15%
Unknown 1 4%
Readers by discipline Count As %
Engineering 19 73%
Materials Science 2 8%
Computer Science 1 4%
Agricultural and Biological Sciences 1 4%
Unknown 3 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2022.
All research outputs
#6,615,081
of 23,392,375 outputs
Outputs from Advanced Modeling and Simulation in Engineering Sciences
#6
of 62 outputs
Outputs of similar age
#101,735
of 389,368 outputs
Outputs of similar age from Advanced Modeling and Simulation in Engineering Sciences
#1
of 2 outputs
Altmetric has tracked 23,392,375 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 62 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 90% 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 389,368 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 2 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