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Shear-driven aggregation of SU-8 microrods in suspension

Overview of attention for article published in Soft Matter, January 2014
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36 Mendeley
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Article details
Title
Shear-driven aggregation of SU-8 microrods in suspension
Published in
Soft Matter, January 2014
DOI 10.1039/c4sm00359d
Pubmed ID
Authors
Abstract

A non-Brownian suspension of micron scale rods exhibits reversible shear-driven formation of disordered aggregates resulting in dramatic viscosity enhancement at low shear rates. Aggregate formation is imaged using a combined rheometer and fluorescence microscope. The size and structure of these aggregates are found to be a function of shear rate and concentration, with larger aggregates present at lower shear rates and higher concentrations. Quantitative measurements of the early-stage aggregation process are modeled by collision driven growth of porous structures which suggest that the aggregate density increases with shear rate. This result is combined with a Krieger-Dougherty type constitutive relationship and steady-state viscosity measurements to estimate the intrinsic viscosity of complex structures developed under shear. These results represent a direct, quantitative, experimental demonstration of the association between aggregation and viscosity enhancement for a rod suspension, and demonstrate a way of inferring microscopic geometric properties of a dynamic system through the combination of quantitative imaging and rheology.

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X Demographics

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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 6%
France 2 6%
Unknown 32 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 19%
Researcher 6 17%
Professor > Associate Professor 6 17%
Student > Ph. D. Student 5 14%
Professor 3 8%
Other 6 17%
Unknown 3 8%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 10 28%
Chemistry 9 25%
Engineering 8 22%
Chemical Engineering 3 8%
Materials Science 2 6%
Other 1 3%
Unknown 3 8%
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 07 August 2014.
All research outputs
#15,303,385
of 22,759,618 outputs
Outputs from Soft Matter
#3,964
of 8,096 outputs
Outputs of similar age
#190,020
of 305,282 outputs
Outputs of similar age from Soft Matter
#154
of 301 outputs
Altmetric has tracked 22,759,618 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 8,096 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 43rd percentile – i.e., 43% 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 305,282 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 301 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.