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Self-powered integrated microfluidic point-of-care low-cost enabling (SIMPLE) chip

Overview of attention for article published in Science Advances, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
72 tweeters
facebook
4 Facebook pages

Citations

dimensions_citation
203 Dimensions

Readers on

mendeley
387 Mendeley
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Title
Self-powered integrated microfluidic point-of-care low-cost enabling (SIMPLE) chip
Published in
Science Advances, March 2017
DOI 10.1126/sciadv.1501645
Pubmed ID
Authors

Erh-Chia Yeh, Chi-Cheng Fu, Lucy Hu, Rohan Thakur, Jeffrey Feng, Luke P. Lee

Abstract

Portable, low-cost, and quantitative nucleic acid detection is desirable for point-of-care diagnostics; however, current polymerase chain reaction testing often requires time-consuming multiple steps and costly equipment. We report an integrated microfluidic diagnostic device capable of on-site quantitative nucleic acid detection directly from the blood without separate sample preparation steps. First, we prepatterned the amplification initiator [magnesium acetate (MgOAc)] on the chip to enable digital nucleic acid amplification. Second, a simplified sample preparation step is demonstrated, where the plasma is separated autonomously into 224 microwells (100 nl per well) without any hemolysis. Furthermore, self-powered microfluidic pumping without any external pumps, controllers, or power sources is accomplished by an integrated vacuum battery on the chip. This simple chip allows rapid quantitative digital nucleic acid detection directly from human blood samples (10 to 10(5) copies of methicillin-resistant Staphylococcus aureus DNA per microliter, ~30 min, via isothermal recombinase polymerase amplification). These autonomous, portable, lab-on-chip technologies provide promising foundations for future low-cost molecular diagnostic assays.

Twitter Demographics

The data shown below were collected from the profiles of 72 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 387 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 387 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 90 23%
Researcher 69 18%
Student > Bachelor 43 11%
Student > Master 39 10%
Student > Doctoral Student 27 7%
Other 52 13%
Unknown 67 17%
Readers by discipline Count As %
Engineering 114 29%
Biochemistry, Genetics and Molecular Biology 55 14%
Agricultural and Biological Sciences 29 7%
Chemistry 28 7%
Materials Science 14 4%
Other 59 15%
Unknown 88 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 84. 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 03 July 2022.
All research outputs
#392,690
of 21,714,585 outputs
Outputs from Science Advances
#2,696
of 8,858 outputs
Outputs of similar age
#9,595
of 284,423 outputs
Outputs of similar age from Science Advances
#87
of 198 outputs
Altmetric has tracked 21,714,585 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,858 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.9. This one has gotten more attention than average, scoring higher than 69% 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 284,423 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.