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An efficient 3D topology optimization code written in Matlab

Overview of attention for article published in Structural & Multidisciplinary Optimization, June 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
105 Dimensions

Readers on

mendeley
377 Mendeley
Title
An efficient 3D topology optimization code written in Matlab
Published in
Structural & Multidisciplinary Optimization, June 2014
DOI 10.1007/s00158-014-1107-x
Authors

Kai Liu, Andrés Tovar

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 377 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Germany 2 <1%
Denmark 1 <1%
Italy 1 <1%
China 1 <1%
Portugal 1 <1%
Colombia 1 <1%
Singapore 1 <1%
Unknown 365 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 116 31%
Student > Master 104 28%
Unspecified 40 11%
Researcher 29 8%
Student > Doctoral Student 25 7%
Other 63 17%
Readers by discipline Count As %
Engineering 266 71%
Unspecified 61 16%
Computer Science 13 3%
Design 9 2%
Materials Science 7 2%
Other 21 6%

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 03 November 2016.
All research outputs
#7,639,606
of 12,226,048 outputs
Outputs from Structural & Multidisciplinary Optimization
#84
of 122 outputs
Outputs of similar age
#147,004
of 262,580 outputs
Outputs of similar age from Structural & Multidisciplinary Optimization
#4
of 5 outputs
Altmetric has tracked 12,226,048 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 122 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 17th percentile – i.e., 17% 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 262,580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.