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Dynamic Stratification in Drying Films of Colloidal Mixtures

Overview of attention for article published in Physical Review Letters, March 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 49,311)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
84 news outlets
blogs
3 blogs
twitter
6 X users
patent
2 patents
reddit
2 Redditors

Readers on

mendeley
222 Mendeley
citeulike
1 CiteULike
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Article details
Title
Dynamic Stratification in Drying Films of Colloidal Mixtures
Published in
Physical Review Letters, March 2016
DOI 10.1103/physrevlett.116.118301
Pubmed ID
Authors
Abstract

In simulations and experiments, we study the drying of films containing mixtures of large and small colloidal particles in water. During drying, the mixture stratifies into a layer of the larger particles at the bottom with a layer of the smaller particles on top. We developed a model to show that a gradient in osmotic pressure, which develops dynamically during drying, is responsible for the segregation mechanism behind stratification.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 222 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 %
United States 2 <1%
China 2 <1%
Russia 1 <1%
Japan 1 <1%
India 1 <1%
Germany 1 <1%
Unknown 214 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 57 26%
Researcher 37 17%
Student > Master 19 9%
Student > Bachelor 17 8%
Professor 11 5%
Other 32 14%
Unknown 49 22%
Readers by discipline
Readers by discipline Count As %
Chemistry 36 16%
Physics and Astronomy 36 16%
Engineering 30 14%
Materials Science 30 14%
Chemical Engineering 15 7%
Other 16 7%
Unknown 59 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 670. 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 02 July 2024.
All research outputs
#37,897
of 31,983,049 outputs
Outputs from Physical Review Letters
#42
of 49,311 outputs
Outputs of similar age
#549
of 328,849 outputs
Outputs of similar age from Physical Review Letters
#3
of 575 outputs
Altmetric has tracked 31,983,049 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 49,311 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done particularly well, scoring higher than 99% of its peers.
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 328,849 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 575 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.