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Methodical fitting for mathematical models of rubber-like materials

Overview of attention for article published in Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, February 2017
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Mentioned by

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1 tweeter

Citations

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30 Dimensions

Readers on

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39 Mendeley
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Title
Methodical fitting for mathematical models of rubber-like materials
Published in
Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, February 2017
DOI 10.1098/rspa.2016.0811
Authors

Michel Destrade, Giuseppe Saccomandi, Ivonne Sgura

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 51%
Researcher 6 15%
Student > Master 2 5%
Professor 1 3%
Student > Bachelor 1 3%
Other 3 8%
Unknown 6 15%
Readers by discipline Count As %
Engineering 21 54%
Materials Science 4 10%
Chemical Engineering 2 5%
Physics and Astronomy 1 3%
Mathematics 1 3%
Other 1 3%
Unknown 9 23%

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 23 August 2016.
All research outputs
#8,474,684
of 9,724,852 outputs
Outputs from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#437,025
of 541,378 outputs
Outputs of similar age
#216,157
of 259,521 outputs
Outputs of similar age from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#21,023
of 24,280 outputs
Altmetric has tracked 9,724,852 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 541,378 research outputs from this source. They receive a mean Attention Score of 2.8. 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 259,521 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 24,280 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.