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Design of Self-Expanding Auxetic Stents Using Topology Optimization

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2020
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1 X user

Citations

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34 Dimensions

Readers on

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93 Mendeley
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Title
Design of Self-Expanding Auxetic Stents Using Topology Optimization
Published in
Frontiers in Bioengineering and Biotechnology, July 2020
DOI 10.3389/fbioe.2020.00736
Pubmed ID
Authors

Huipeng Xue, Zhen Luo, Terry Brown, Susann Beier

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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 18%
Student > Ph. D. Student 16 17%
Student > Doctoral Student 7 8%
Student > Bachelor 5 5%
Researcher 4 4%
Other 10 11%
Unknown 34 37%
Readers by discipline Count As %
Engineering 42 45%
Materials Science 6 6%
Unspecified 3 3%
Medicine and Dentistry 1 1%
Chemical Engineering 1 1%
Other 2 2%
Unknown 38 41%
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 15 July 2020.
All research outputs
#20,629,784
of 23,221,875 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,723
of 6,899 outputs
Outputs of similar age
#339,732
of 396,834 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#336
of 481 outputs
Altmetric has tracked 23,221,875 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 6,899 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 396,834 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 481 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.