| 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 71 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 27% |
| United Kingdom | 4 | 6% |
| France | 3 | 4% |
| India | 3 | 4% |
| Finland | 2 | 3% |
| Australia | 2 | 3% |
| Canada | 2 | 3% |
| Netherlands | 2 | 3% |
| United Arab Emirates | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 26 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 47 | 66% |
| Scientists | 19 | 27% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 409 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 409 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 92 | 22% |
| Researcher | 74 | 18% |
| Student > Bachelor | 43 | 11% |
| Student > Master | 40 | 10% |
| Student > Doctoral Student | 27 | 7% |
| Other | 54 | 13% |
| Unknown | 79 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 118 | 29% |
| Biochemistry, Genetics and Molecular Biology | 56 | 14% |
| Agricultural and Biological Sciences | 29 | 7% |
| Chemistry | 28 | 7% |
| Materials Science | 15 | 4% |
| Other | 61 | 15% |
| Unknown | 102 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 87. 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 15 August 2023.
All research outputs
#459,726
of 24,417,958 outputs
Outputs from Science Advances
#3,260
of 11,246 outputs
Outputs of similar age
#10,103
of 314,691 outputs
Outputs of similar age from Science Advances
#71
of 168 outputs
Altmetric has tracked 24,417,958 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 11,246 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.0. This one has gotten more attention than average, scoring higher than 71% 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 314,691 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 168 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 58% of its contemporaries.