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Investigating the dissipative effects of liquid-filled particle dampers using coupled DEM–SPH methods

Overview of attention for article published in Computational Particle Mechanics, November 2018
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1 Facebook page

Citations

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15 Dimensions

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17 Mendeley
Title
Investigating the dissipative effects of liquid-filled particle dampers using coupled DEM–SPH methods
Published in
Computational Particle Mechanics, November 2018
DOI 10.1007/s40571-018-0212-9
Authors

Chandramouli Gnanasambandham, Andreas Schönle, Peter Eberhard

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Student > Doctoral Student 3 18%
Lecturer 1 6%
Professor 1 6%
Unknown 6 35%
Readers by discipline Count As %
Engineering 7 41%
Mathematics 1 6%
Unknown 9 53%
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 10 November 2018.
All research outputs
#20,540,789
of 23,112,054 outputs
Outputs from Computational Particle Mechanics
#180
of 293 outputs
Outputs of similar age
#302,294
of 347,092 outputs
Outputs of similar age from Computational Particle Mechanics
#2
of 10 outputs
Altmetric has tracked 23,112,054 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 293 research outputs from this source. They receive a mean Attention Score of 1.2. 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 347,092 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.