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A thermodynamically consistent model of magneto-elastic materials under diffusion at large strains and its analysis

Overview of attention for article published in Zeitschrift für angewandte Mathematik und Physik, April 2018
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1 X user

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Title
A thermodynamically consistent model of magneto-elastic materials under diffusion at large strains and its analysis
Published in
Zeitschrift für angewandte Mathematik und Physik, April 2018
DOI 10.1007/s00033-018-0932-y
Authors

Tomáš Roubíček, Giuseppe Tomassetti

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Engineering 1 33%
Unknown 1 33%
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 21 March 2017.
All research outputs
#21,141,111
of 23,794,258 outputs
Outputs from Zeitschrift für angewandte Mathematik und Physik
#223
of 298 outputs
Outputs of similar age
#263,916
of 298,142 outputs
Outputs of similar age from Zeitschrift für angewandte Mathematik und Physik
#18
of 19 outputs
Altmetric has tracked 23,794,258 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 298 research outputs from this source. They receive a mean Attention Score of 1.3. 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 298,142 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 19 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.