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Viscoelastic Computational Modeling of Extruded Micro-textured Polymeric Films

Overview of attention for article published in Procedia Materials Science, January 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
4 patents

Readers on

mendeley
6 Mendeley
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Title
Viscoelastic Computational Modeling of Extruded Micro-textured Polymeric Films
Published in
Procedia Materials Science, January 2014
DOI 10.1016/j.mspro.2014.07.465
Authors

Byron S. Villacorta, Ralph Hulseman, Amod A. Ogale

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor 1 17%
Researcher 1 17%
Student > Postgraduate 1 17%
Unknown 1 17%
Readers by discipline Count As %
Engineering 4 67%
Materials Science 1 17%
Unknown 1 17%
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 25 August 2020.
All research outputs
#7,577,096
of 23,106,934 outputs
Outputs from Procedia Materials Science
#13
of 80 outputs
Outputs of similar age
#92,789
of 306,941 outputs
Outputs of similar age from Procedia Materials Science
#9
of 48 outputs
Altmetric has tracked 23,106,934 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 80 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 36th percentile – i.e., 36% 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 306,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.