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A sample-in-digital-answer-out system for rapid detection and quantitation of infectious pathogens in bodily fluids

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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7 X users

Citations

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38 Dimensions

Readers on

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57 Mendeley
Title
A sample-in-digital-answer-out system for rapid detection and quantitation of infectious pathogens in bodily fluids
Published in
Analytical & Bioanalytical Chemistry, August 2018
DOI 10.1007/s00216-018-1335-9
Pubmed ID
Authors

Haowen Yang, Zhu Chen, Xiaobao Cao, Zhiyang Li, Stavros Stavrakis, Jaebum Choo, Andrew J. deMello, Philip D. Howes, Nongyue He

Abstract

A variety of automated sample-in-answer-out systems for in vitro molecular diagnostics have been presented and even commercialized. Although efficient in operation, they are incapable of quantifying targets, since quantitation based on analog analytical methods (via standard curve analysis) is complex, expensive, and challenging. To address this issue, herein, we describe an integrated sample-in-digital-answer-out (SIDAO) diagnostic system incorporating DNA extraction and digital recombinase polymerase amplification, which enables rapid and quantitative nucleic acid analysis from bodily fluids within a disposable cartridge. Inside the cartridge, reagents are pre-stored in sterilized tubes, with an automated pipetting module allowing facile liquid transfer. For digital analysis, we fabricate a simple, single-layer polydimethylsiloxane microfluidic device and develop a novel and simple sample compartmentalization strategy. Sample solution is partitioned into an array of 40,044 fL-volume microwells by sealing the microfluidic device through the application of mechanical pressure. The entire analysis is performed in a portable, fully automated instrument. We evaluate the quantitative capabilities of the system by analyzing Mycobacterium tuberculosis genomic DNA from both spiked saliva and serum samples, and demonstrate excellent analytical accuracy and specificity. This SIDAO system provides a promising diagnostic platform for quantitative nucleic acid testing at the point-of-care. Graphical abstract ᅟ.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Student > Doctoral Student 7 12%
Student > Master 6 11%
Student > Bachelor 5 9%
Researcher 5 9%
Other 6 11%
Unknown 17 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 19%
Chemical Engineering 6 11%
Chemistry 5 9%
Engineering 5 9%
Agricultural and Biological Sciences 2 4%
Other 9 16%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 November 2020.
All research outputs
#8,266,724
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,976
of 9,619 outputs
Outputs of similar age
#133,508
of 344,555 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#26
of 168 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 77% 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 344,555 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 60% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.