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Array-based capture, distribution, counting and multiplexed assaying of beads on a centrifugal microfluidic platform

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, February 2012
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Title
Array-based capture, distribution, counting and multiplexed assaying of beads on a centrifugal microfluidic platform
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, February 2012
DOI 10.1039/c2lc21170j
Pubmed ID
Authors

Robert Burger, Patrick Reith, Gregor Kijanka, Victor Akujobi, Patrick Abgrall, Jens Ducrée

Abstract

We present a novel centrifugal microfluidic platform for the highly efficient manipulation and analysis of particles for applications in bead-based assays. The platform uses an array of geometrical V-cup barriers to trap particles using stopped-flow sedimentation under highly reproducible hydrodynamic conditions. The impact parameters governing the occupancy distribution and capture efficiency of the arrayed traps are investigated. The unique, nearly 100% capture efficiency paired with the capability to establish sharply peaked, single occupancy distributions enables a novel, digital readout mode for color-multiplexed, particle-based assays with low-complexity instrumentation. The presented technology marks an essential step towards a versatile platform for the integration of bead- and cell-based biological assays.

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The data shown below were collected from the profile of 1 X user 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Ireland 1 1%
Unknown 88 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 36%
Student > Master 18 20%
Researcher 14 15%
Student > Bachelor 8 9%
Professor 3 3%
Other 7 8%
Unknown 8 9%
Readers by discipline Count As %
Engineering 44 48%
Agricultural and Biological Sciences 15 16%
Physics and Astronomy 8 9%
Biochemistry, Genetics and Molecular Biology 5 5%
Chemistry 4 4%
Other 8 9%
Unknown 7 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 16 February 2012.
All research outputs
#20,970,494
of 25,756,911 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#5,022
of 5,997 outputs
Outputs of similar age
#210,233
of 259,849 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#267
of 325 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,997 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 10th percentile – i.e., 10% 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 259,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 325 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.