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Attention Score in Context
| Title |
Self-contained microfluidic systems: a review
|
|---|---|
| Published in |
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2016
|
| DOI | 10.1039/c6lc00712k |
| Pubmed ID | |
| Authors |
Mitchell Boyd-Moss, Sara Baratchi, Martina Di Venere, Khashayar Khoshmanesh |
| Abstract |
Microfluidic systems enable rapid diagnosis, screening and monitoring of diseases and health conditions using small amounts of biological samples and reagents. Despite these remarkable features, conventional microfluidic systems rely on bulky expensive external equipment, which hinders their utility as powerful analysis tools outside of research laboratories. 'Self-contained' microfluidic systems, which contain all necessary components to facilitate a complete assay, have been developed to address this limitation. In this review, we provide an in-depth overview of self-contained microfluidic systems. We categorise these systems based on their operating mechanisms into three major groups: passive, hand-powered and active. Several examples are provided to discuss the structure, capabilities and shortcomings of each group. In particular, we discuss the self-contained microfluidic systems enabled by active mechanisms, due to their unique capability for running multi-step and highly controllable diagnostic assays. Integration of self-contained microfluidic systems with the image acquisition and processing capabilities of smartphones, especially those equipped with accessory optical components, enables highly sensitive and quantitative assays, which are discussed. Finally, the future trends and possible solutions to expand the versatility of self-contained, stand-alone microfluidic platforms are outlined. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Austria | 1 | <1% |
| Hong Kong | 1 | <1% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 237 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 63 | 26% |
| Researcher | 39 | 16% |
| Student > Master | 28 | 11% |
| Student > Bachelor | 22 | 9% |
| Student > Doctoral Student | 18 | 7% |
| Other | 30 | 12% |
| Unknown | 44 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 88 | 36% |
| Biochemistry, Genetics and Molecular Biology | 24 | 10% |
| Agricultural and Biological Sciences | 23 | 9% |
| Chemistry | 21 | 9% |
| Physics and Astronomy | 7 | 3% |
| Other | 27 | 11% |
| Unknown | 54 | 22% |
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 08 July 2016.
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
#297,478
of 401,844 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#292
of 356 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 401,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 356 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.