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Self-ordered particle trains in inertial microchannel flows

Overview of attention for article published in Microfluidics and Nanofluidics, September 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Self-ordered particle trains in inertial microchannel flows
Published in
Microfluidics and Nanofluidics, September 2017
DOI 10.1007/s10404-017-1993-5
Authors

Yanfeng Gao, Pascale Magaud, Lucien Baldas, Christine Lafforgue, Micheline Abbas, Stéphane Colin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 34%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Researcher 3 9%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Engineering 11 31%
Chemical Engineering 6 17%
Energy 2 6%
Mathematics 1 3%
Computer Science 1 3%
Other 4 11%
Unknown 10 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 September 2017.
All research outputs
#5,804,561
of 23,002,898 outputs
Outputs from Microfluidics and Nanofluidics
#104
of 500 outputs
Outputs of similar age
#91,338
of 316,186 outputs
Outputs of similar age from Microfluidics and Nanofluidics
#2
of 6 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 500 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 79% 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 316,186 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
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.