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Mendeley readers
Attention Score in Context
| Title |
Vesicle biomechanics in a time-varying magnetic field
|
|---|---|
| Published in |
BMC Biophysics, January 2015
|
| DOI | 10.1186/s13628-014-0016-0 |
| Pubmed ID | |
| Authors |
Hui Ye, Austen Curcuru |
| Abstract |
Cells exhibit distortion when exposed to a strong electric field, suggesting that the field imposes control over cellular biomechanics. Closed pure lipid bilayer membranes (vesicles) have been widely used for the experimental and theoretical studies of cellular biomechanics under this electrodeformation. An alternative method used to generate an electric field is by electromagnetic induction with a time-varying magnetic field. References reporting the magnetic control of cellular mechanics have recently emerged. However, theoretical analysis of the cellular mechanics under a time-varying magnetic field is inadequate. We developed an analytical theory to investigate the biomechanics of a modeled vesicle under a time-varying magnetic field. Following previous publications and to simplify the calculation, this model treated the inner and suspending media as lossy dielectrics, the membrane thickness set at zero, and the electric resistance of the membrane assumed to be negligible. This work provided the first analytical solutions for the surface charges, electric field, radial pressure, overall translational forces, and rotational torques introduced on a vesicle by the time-varying magnetic field. Frequency responses of these measures were analyzed, particularly the frequency used clinically by transcranial magnetic stimulation (TMS). |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 26% |
| Student > Ph. D. Student | 5 | 19% |
| Student > Bachelor | 3 | 11% |
| Professor > Associate Professor | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 6 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Engineering | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Agricultural and Biological Sciences | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 10 | 37% |
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 06 February 2015.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Biophysics
#52
of 57 outputs
Outputs of similar age
#303,658
of 356,812 outputs
Outputs of similar age from BMC Biophysics
#2
of 2 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 57 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.