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The Finite Cell Method: A Review in the Context of Higher-Order Structural Analysis of CAD and Image-Based Geometric Models

Overview of attention for article published in Archives of Computational Methods in Engineering, May 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 169)
  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
257 Dimensions

Readers on

mendeley
158 Mendeley
Title
The Finite Cell Method: A Review in the Context of Higher-Order Structural Analysis of CAD and Image-Based Geometric Models
Published in
Archives of Computational Methods in Engineering, May 2014
DOI 10.1007/s11831-014-9115-y
Authors

Dominik Schillinger, Martin Ruess

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 <1%
Unknown 157 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 32%
Researcher 22 14%
Student > Master 17 11%
Professor > Associate Professor 16 10%
Student > Doctoral Student 10 6%
Other 12 8%
Unknown 30 19%
Readers by discipline Count As %
Engineering 86 54%
Mathematics 8 5%
Computer Science 8 5%
Materials Science 4 3%
Unspecified 2 1%
Other 6 4%
Unknown 44 28%
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 01 January 2016.
All research outputs
#7,487,068
of 22,886,568 outputs
Outputs from Archives of Computational Methods in Engineering
#34
of 169 outputs
Outputs of similar age
#73,423
of 226,853 outputs
Outputs of similar age from Archives of Computational Methods in Engineering
#2
of 3 outputs
Altmetric has tracked 22,886,568 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 169 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 66% 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 226,853 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 54% 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.