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Advances in Discretization Methods

Overview of attention for book
Attention for Chapter 6: Crack Lip Contact Modeling Based on Lagrangian Multipliers with X-FEM
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1 X user

Citations

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Readers on

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Chapter title
Crack Lip Contact Modeling Based on Lagrangian Multipliers with X-FEM
Chapter number 6
Book title
Advances in Discretization Methods
Published in
SEMA SIMAI Springer Series, January 2016
DOI 10.1007/978-3-319-41246-7_6
Book ISBNs
978-3-31-941245-0, 978-3-31-941246-7
Authors

Jin, Yuan, Pierard, Olivier, Wyard, Eric, Béchet, Eric, Yuan Jin, Olivier Pierard, Eric Wyart, Eric Béchet, Wyart, Eric

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Materials Science 2 100%
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 09 July 2017.
All research outputs
#23,324,704
of 25,992,468 outputs
Outputs from SEMA SIMAI Springer Series
#1
of 1 outputs
Outputs of similar age
#344,859
of 402,374 outputs
Outputs of similar age from SEMA SIMAI Springer Series
#1
of 1 outputs
Altmetric has tracked 25,992,468 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 1 research outputs from this source. They receive a mean Attention Score of 0.2. This one scored the same or higher as 0 of them.
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 402,374 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 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