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A local constitutive model for the discrete element method. Application to geomaterials and concrete

Overview of attention for article published in Computational Particle Mechanics, May 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
2 X users

Citations

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72 Dimensions

Readers on

mendeley
75 Mendeley
Title
A local constitutive model for the discrete element method. Application to geomaterials and concrete
Published in
Computational Particle Mechanics, May 2015
DOI 10.1007/s40571-015-0044-9
Authors

Eugenio Oñate, Francisco Zárate, Juan Miquel, Miquel Santasusana, Miguel Angel Celigueta, Ferran Arrufat, Raju Gandikota, Khaydar Valiullin, Lev Ring

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 36%
Researcher 15 20%
Student > Master 5 7%
Student > Doctoral Student 3 4%
Professor > Associate Professor 3 4%
Other 8 11%
Unknown 14 19%
Readers by discipline Count As %
Engineering 40 53%
Materials Science 6 8%
Agricultural and Biological Sciences 2 3%
Physics and Astronomy 2 3%
Environmental Science 2 3%
Other 5 7%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 May 2015.
All research outputs
#14,684,701
of 22,805,349 outputs
Outputs from Computational Particle Mechanics
#59
of 292 outputs
Outputs of similar age
#146,365
of 267,780 outputs
Outputs of similar age from Computational Particle Mechanics
#4
of 17 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 292 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done well, scoring higher than 78% of its peers.
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 267,780 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.