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Fast Boundary Element Methods in Engineering and Industrial Applications

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Overall attention for this book and its chapters
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3 X users

Citations

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9 Dimensions

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13 Mendeley
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Title
Fast Boundary Element Methods in Engineering and Industrial Applications
Published by
Lecture Notes in Applied and Computational Mechanics, January 2012
DOI 10.1007/978-3-642-25670-7
ISBNs
978-3-64-225669-1, 978-3-64-225670-7
Authors

Ulrich Langer, Martin Schanz, Olaf Steinbach, Wolfgang L. Wendland

Editors

Langer, Ulrich, Schanz, Martin, Steinbach, Olaf, Wendland, Wolfgang L.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 46%
Researcher 4 31%
Student > Doctoral Student 2 15%
Lecturer 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Readers by discipline Count As %
Engineering 5 38%
Mathematics 4 31%
Computer Science 3 23%
Materials Science 1 8%
Earth and Planetary Sciences 1 8%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 November 2014.
All research outputs
#17,156,647
of 25,992,468 outputs
Outputs from Lecture Notes in Applied and Computational Mechanics
#1
of 1 outputs
Outputs of similar age
#171,675
of 252,854 outputs
Outputs of similar age from Lecture Notes in Applied and Computational Mechanics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% 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 1.2. 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 252,854 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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