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Dual-nozzle microfluidic droplet generator

Overview of attention for article published in Nano Convergence, May 2018
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Title
Dual-nozzle microfluidic droplet generator
Published in
Nano Convergence, May 2018
DOI 10.1186/s40580-018-0145-2
Pubmed ID
Authors

Ji Wook Choi, Jong Min Lee, Tae Hyun Kim, Jang Ho Ha, Christian D. Ahrberg, Bong Geun Chung

Abstract

The droplet-generating microfluidics has become an important technique for a variety of applications ranging from single cell analysis to nanoparticle synthesis. Although there are a large number of methods for generating and experimenting with droplets on microfluidic devices, the dispensing of droplets from these microfluidic devices is a challenge due to aggregation and merging of droplets at the interface of microfluidic devices. Here, we present a microfluidic dual-nozzle device for the generation and dispensing of uniform-sized droplets. The first nozzle of the microfluidic device is used for the generation of the droplets, while the second nozzle can accelerate the droplets and increase the spacing between them, allowing for facile dispensing of droplets. Computational fluid dynamic simulations were conducted to optimize the design parameters of the microfluidic device.

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The data shown below were collected from the profiles of 4 X users 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 32%
Student > Bachelor 3 16%
Other 2 11%
Student > Doctoral Student 1 5%
Student > Ph. D. Student 1 5%
Other 1 5%
Unknown 5 26%
Readers by discipline Count As %
Engineering 7 37%
Agricultural and Biological Sciences 3 16%
Medicine and Dentistry 1 5%
Chemical Engineering 1 5%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 May 2018.
All research outputs
#14,466,436
of 24,393,999 outputs
Outputs from Nano Convergence
#60
of 116 outputs
Outputs of similar age
#172,831
of 331,950 outputs
Outputs of similar age from Nano Convergence
#3
of 3 outputs
Altmetric has tracked 24,393,999 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 116 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 331,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.