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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 (#11 of 17,227)
  • 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
10 tweeters

Readers on

mendeley
79 Mendeley
citeulike
1 CiteULike
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

Andrea Fortini, Ignacio Martín-Fabiani, Jennifer Lesage De La Haye, Pierre-Yves Dugas, Muriel Lansalot, Franck D’Agosto, Elodie Bourgeat-Lami, Joseph L. Keddie, Richard P. Sear, Fortini, Andrea, Martín-Fabiani, Ignacio, De La Haye, Jennifer Lesage, Dugas, Pierre-Yves, Lansalot, Muriel, D'Agosto, Franck, Bourgeat-Lami, Elodie, Keddie, Joseph L, Sear, Richard P

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.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 2 3%
United States 2 3%
Russian Federation 1 1%
India 1 1%
Germany 1 1%
Japan 1 1%
Vietnam 1 1%
Unknown 70 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 33%
Researcher 21 27%
Student > Master 10 13%
Professor 6 8%
Lecturer 3 4%
Other 13 16%
Readers by discipline Count As %
Physics and Astronomy 28 35%
Engineering 16 20%
Materials Science 12 15%
Chemistry 11 14%
Unspecified 4 5%
Other 8 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 689. 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 17 June 2017.
All research outputs
#4,663
of 8,763,848 outputs
Outputs from Physical Review Letters
#11
of 17,227 outputs
Outputs of similar age
#385
of 287,490 outputs
Outputs of similar age from Physical Review Letters
#2
of 402 outputs
Altmetric has tracked 8,763,848 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 17,227 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. 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 287,490 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 402 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.