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Application of kinetic Monte Carlo method to the vapour–liquid equilibria of associating fluids and their mixtures

Overview of attention for article published in Molecular Simulation, September 2015
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Mentioned by

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1 X user

Citations

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27 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Application of kinetic Monte Carlo method to the vapour–liquid equilibria of associating fluids and their mixtures
Published in
Molecular Simulation, September 2015
DOI 10.1080/08927022.2015.1067809
Authors

Van T. Nguyen, S. Johnathan Tan, D.D. Do, D. Nicholson

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 38%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Lecturer 1 13%
Unknown 2 25%
Readers by discipline Count As %
Engineering 2 25%
Physics and Astronomy 1 13%
Chemical Engineering 1 13%
Chemistry 1 13%
Medicine and Dentistry 1 13%
Other 0 0%
Unknown 2 25%
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 29 September 2015.
All research outputs
#15,347,611
of 22,829,083 outputs
Outputs from Molecular Simulation
#145
of 283 outputs
Outputs of similar age
#160,624
of 274,415 outputs
Outputs of similar age from Molecular Simulation
#2
of 6 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 283 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 34th percentile – i.e., 34% 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 274,415 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.