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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-throughput, deterministic single cell trapping and long-term clonal cell culture in microfluidic devices
|
|---|---|
| Published in |
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2015
|
| DOI | 10.1039/c4lc01176g |
| Pubmed ID | |
| Authors |
Huaying Chen, Jane Sun, Ernst Wolvetang, Justin Cooper-White |
| Abstract |
We report the design and validation of a two-layered microfluidic device platform for single cell capture, culture and clonal expansion. Under manual injection of a cell suspension, deterministic trapping of hundreds to thousands of single cells (adherent and non-adherent) in a high throughput manner and at high trapping efficiency was achieved simply through the incorporation of a U-shaped hydrodynamic trap into the downstream wall of each micro-well. Post single cell trapping, we confirmed that these modified micro-wells permit the attachment, spreading and proliferation of the trapped single cells for multiple generations over extended periods of time (>7 days) under media perfusion. Due to its a) low cost, b) simplicity in fabrication and operation, c) high trapping efficiency, d) reliable and repeatable trapping mechanism, e) cell size selection and f) capability to provide perfused long-term culture and continuous time-lapse imaging, the microfluidic device developed and validated in this study is seen to have significant potential application in high-throughput single cell quality assessment and clonal analysis. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 118 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 37% |
| Researcher | 23 | 19% |
| Student > Master | 15 | 12% |
| Student > Postgraduate | 5 | 4% |
| Student > Bachelor | 4 | 3% |
| Other | 11 | 9% |
| Unknown | 19 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 43 | 35% |
| Agricultural and Biological Sciences | 19 | 16% |
| Biochemistry, Genetics and Molecular Biology | 15 | 12% |
| Physics and Astronomy | 5 | 4% |
| Chemistry | 5 | 4% |
| Other | 10 | 8% |
| Unknown | 25 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 December 2021.
All research outputs
#4,756,219
of 25,756,911 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#1,287
of 5,997 outputs
Outputs of similar age
#60,426
of 361,654 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#85
of 505 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 78% 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 361,654 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 505 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.