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A cohesive fracture model for discrete element method based on polyhedral blocks

Overview of attention for article published in Powder Technology, January 2020
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1 X user

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31 Mendeley
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Article details
Title
A cohesive fracture model for discrete element method based on polyhedral blocks
Published in
Powder Technology, January 2020
DOI 10.1016/j.powtec.2019.09.068
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 32%
Student > Master 4 13%
Lecturer > Senior Lecturer 2 6%
Professor 2 6%
Student > Doctoral Student 1 3%
Other 2 6%
Unknown 10 32%
Readers by discipline
Readers by discipline Count As %
Engineering 15 48%
Chemical Engineering 1 3%
Earth and Planetary Sciences 1 3%
Materials Science 1 3%
Unknown 13 42%
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 19 October 2019.
All research outputs
#22,698,769
of 27,789,359 outputs
Outputs from Powder Technology
#1,683
of 1,883 outputs
Outputs of similar age
#369,619
of 485,778 outputs
Outputs of similar age from Powder Technology
#28
of 32 outputs
Altmetric has tracked 27,789,359 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,883 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 5th percentile – i.e., 5% 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 485,778 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.