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Numerical assessment of springback for the deep drawing process by level set interpolation using shape manifolds

Overview of attention for article published in International Journal of Material Forming, September 2013
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  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
8 Mendeley
Title
Numerical assessment of springback for the deep drawing process by level set interpolation using shape manifolds
Published in
International Journal of Material Forming, September 2013
DOI 10.1007/s12289-013-1145-8
Authors

Balaji Raghavan, Guenhael Le Quilliec, Piotr Breitkopf, Alain Rassineux, Jean-Marc Roelandt, Pierre Villon

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Professor > Associate Professor 2 25%
Student > Bachelor 1 13%
Professor 1 13%
Student > Doctoral Student 1 13%
Other 0 0%
Readers by discipline Count As %
Engineering 6 75%
Materials Science 1 13%
Unknown 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 May 2016.
All research outputs
#7,967,425
of 23,975,976 outputs
Outputs from International Journal of Material Forming
#21
of 77 outputs
Outputs of similar age
#68,103
of 201,504 outputs
Outputs of similar age from International Journal of Material Forming
#1
of 3 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 2.9. This one is in the 38th percentile – i.e., 38% 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 201,504 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 50% of its contemporaries.
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. This one has scored higher than all of them