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Microchip-based Plasma Separation from Whole Blood via Axial Migration of Blood Cells

Overview of attention for article published in Analytical Sciences, December 2011
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Article details
Title
Microchip-based Plasma Separation from Whole Blood via Axial Migration of Blood Cells
Published in
Analytical Sciences, December 2011
DOI 10.2116/analsci.27.1173
Pubmed ID
Authors
Abstract

Highly efficient cell-free plasma separation from 200 µL of human whole blood was realized via axial migration of blood cells and cross-flow filtration in a microchip. Although various analyses of small volumes of blood have been reported, a large volume of blood is necessary for obtaining blood cells and plasma for the conventional plasma separation technique of centrifugation. A highly efficient plasma separation method using small volumes of blood without hemolysis is an important issue. We developed a plasma separation method based on a microchip with a filter, which utilizes the axial migration of blood cells observed in blood vessels. Clogging and hemolysis on the filter can be prevented by the axial migration of the blood cells. Using this method, 65% of the plasma from 200 µL of whole blood was successfully separated without hemolysis. When the plasma separation microchip interfaced with a micro-ELISA system was applied to C-reactive protein (CRP) analysis, the CRP concentration obtained by the microchip showed good correlation with that obtained by conventional centrifugation. Total analysis time, including plasma separation, was achieved in only 25 min.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Japan 1 3%
Spain 1 3%
Austria 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Student > Master 5 16%
Researcher 4 13%
Student > Doctoral Student 3 10%
Student > Bachelor 3 10%
Other 5 16%
Unknown 2 6%
Readers by discipline
Readers by discipline Count As %
Engineering 16 52%
Agricultural and Biological Sciences 3 10%
Medicine and Dentistry 3 10%
Chemistry 3 10%
Physics and Astronomy 2 6%
Other 3 10%
Unknown 1 3%
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 December 2011.
All research outputs
#18,301,870
of 22,659,164 outputs
Outputs from Analytical Sciences
#696
of 898 outputs
Outputs of similar age
#195,618
of 240,981 outputs
Outputs of similar age from Analytical Sciences
#8
of 14 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 898 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 14th percentile – i.e., 14% 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 240,981 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.