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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 33% |
| Researcher | 2 | 33% |
| Student > Ph. D. Student | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 4 | 67% |
| Materials Science | 1 | 17% |
| Unknown | 1 | 17% |
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 05 July 2016.
All research outputs
#18,465,704
of 22,880,230 outputs
Outputs from Scientific Reports
#93,532
of 123,609 outputs
Outputs of similar age
#269,896
of 354,139 outputs
Outputs of similar age from Scientific Reports
#2,680
of 3,670 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,609 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 14th percentile – i.e., 14% 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 354,139 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,670 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.