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The minimization of mechanical work in vibrated granular matter

Overview of attention for article published in Scientific Reports, July 2016
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Mentioned by

twitter
3 tweeters

Citations

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6 Dimensions

Readers on

mendeley
5 Mendeley
Title
The minimization of mechanical work in vibrated granular matter
Published in
Scientific Reports, July 2016
DOI 10.1038/srep28726
Pubmed ID
Authors

James P. D. Clewett, Jack Wade, R. M. Bowley, Stephan Herminghaus, Michael R. Swift, Marco G. Mazza

Abstract

Experiments and computer simulations are carried out to investigate phase separation in a granular gas under vibration. The densities of the dilute and the dense phase are found to follow a lever rule and obey an equation of state. Here we show that the Maxwell equal-areas construction predicts the coexisting pressure and binodal densities remarkably well, even though the system is far from thermal equilibrium. This construction can be linked to the minimization of mechanical work associated with density fluctuations without invoking any concept related to equilibrium-like free energies.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Professor 2 40%
Researcher 2 40%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Physics and Astronomy 4 80%
Materials Science 1 20%

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 25 July 2017.
All research outputs
#6,597,999
of 11,516,709 outputs
Outputs from Scientific Reports
#24,394
of 49,987 outputs
Outputs of similar age
#123,602
of 266,761 outputs
Outputs of similar age from Scientific Reports
#1,552
of 3,359 outputs
Altmetric has tracked 11,516,709 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 49,987 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 48th percentile – i.e., 48% 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 266,761 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 3,359 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.