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Attention Score in Context
| Title |
Development of a miniaturized stimulation device for electrical stimulation of cells
|
|---|---|
| Published in |
Journal of Biological Engineering, September 2015
|
| DOI | 10.1186/s13036-015-0012-1 |
| Pubmed ID | |
| Authors |
Gordon Minru Xiong, Anh Tuan Do, Jun Kit Wang, Chee Leong Yeoh, Kiat Seng Yeo, Cleo Choong |
| Abstract |
Directing cell behaviour using controllable, on-demand non-biochemical methods, such as electrical stimulation is an attractive area of research. While there exists much potential in exploring different modes of electrical stimulation and investigating a wider range of cellular phenomena that can arise from electrical stimulation, progress in this field has been slow. The reasons for this are that the stimulation techniques and customized setups utilized in past studies have not been standardized, and that current approaches to study such phenomena rely on low throughput platforms with restricted variability of waveform outputs. Here, we first demonstrated how a variety of cellular responses can be elicited using different modes of DC and square waveform stimulation. Intracellular calcium levels were found to be elevated in the neuroblast cell line SH-SY5Y during stimulation with 5 V square waves and, stimulation with 150 mV/mm DC fields and 1.5 mA DC current resulted in polarization of protein kinase Akt in keratinocytes and elongation of endothelial cells, respectively. Next, a miniaturized stimulation device was developed with an integrated cell chamber array to output multiple discrete stimulation channels. A frequency dividing circuit implemented on the device provides a robust system to systematically study the effects of multiple output frequencies from a single input channel. We have shown the feasibility of directing cellular responses using various stimulation waveforms, and developed a modular stimulation device that allows for the investigation of multiple stimulation parameters, which previously had to be conducted with different discrete equipment or output channels. Such a device can potentially spur the development of other high throughput platforms for thorough investigation of electrical stimulation parameters on cellular responses. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | <1% |
| Unknown | 102 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 25% |
| Researcher | 14 | 14% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 11 | 11% |
| Student > Doctoral Student | 6 | 6% |
| Other | 13 | 13% |
| Unknown | 19 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 31 | 30% |
| Biochemistry, Genetics and Molecular Biology | 11 | 11% |
| Agricultural and Biological Sciences | 10 | 10% |
| Materials Science | 10 | 10% |
| Neuroscience | 6 | 6% |
| Other | 14 | 14% |
| Unknown | 21 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 January 2017.
All research outputs
#13,446,606
of 22,826,360 outputs
Outputs from Journal of Biological Engineering
#148
of 260 outputs
Outputs of similar age
#126,050
of 267,016 outputs
Outputs of similar age from Journal of Biological Engineering
#4
of 8 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 260 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 40th percentile – i.e., 40% 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 267,016 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 51% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.