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Attention Score in Context
| Title |
Stimulated myoblast differentiation on graphene oxide-impregnated PLGA-collagen hybrid fibre matrices
|
|---|---|
| Published in |
Journal of Nanobiotechnology, March 2015
|
| DOI | 10.1186/s12951-015-0081-9 |
| Pubmed ID | |
| Authors |
Yong Cheol Shin, Jong Ho Lee, Linhua Jin, Min Jeong Kim, Yong-Joo Kim, Jung Keun Hyun, Tae-Gon Jung, Suck Won Hong, Dong-Wook Han |
| Abstract |
Electrospinning is a simple and effective method for fabricating micro- and nanofiber matrices. Electrospun fibre matrices have numerous advantages for use as tissue engineering scaffolds, such as high surface area-to-volume ratio, mass production capability and structural similarity to the natural extracellular matrix (ECM). Therefore, electrospun matrices, which are composed of biocompatible polymers and various biomaterials, have been developed as biomimetic scaffolds for the tissue engineering applications. In particular, graphene oxide (GO) has recently been considered as a novel biomaterial for skeletal muscle regeneration because it can promote the growth and differentiation of myoblasts. Therefore, the aim of the present study was to fabricate the hybrid fibre matrices that stimulate myoblasts differentiation for skeletal muscle regeneration. Hybrid fibre matrices composed of poly(lactic-co-glycolic acid, PLGA) and collagen (Col) impregnated with GO (GO-PLGA-Col) were successfully fabricated using an electrospinning process. Our results indicated that the GO-PLGA-Col hybrid matrices were comprised of randomly-oriented continuous fibres with a three-dimensional non-woven porous structure. Compositional analysis showed that GO was dispersed uniformly throughout the GO-PLGA-Col matrices. In addition, the hydrophilicity of the fabricated matrices was significantly increased by blending with a small amount of Col and GO. The attachment and proliferation of the C2C12 skeletal myoblasts were significantly enhanced on the GO-PLGA-Col hybrid matrices. Furthermore, the GO-PLGA-Col matrices stimulated the myogenic differentiation of C2C12 skeletal myoblasts, which was enhanced further under the culture conditions of the differentiation media. Taking our findings into consideration, it is suggested that the GO-PLGA-Col hybrid fibre matrices can be exploited as potential biomimetic scaffolds for skeletal tissue engineering and regeneration because these GO-impregnated hybrid matrices have potent effects on the induction of spontaneous myogenesis and exhibit superior bioactivity and biocompatibility. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | <1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 103 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 25% |
| Student > Ph. D. Student | 16 | 15% |
| Researcher | 11 | 10% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 6 | 6% |
| Other | 16 | 15% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 19% |
| Materials Science | 15 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Chemistry | 8 | 8% |
| Medicine and Dentistry | 7 | 7% |
| Other | 18 | 17% |
| Unknown | 28 | 26% |
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 18 April 2015.
All research outputs
#15,867,217
of 23,571,271 outputs
Outputs from Journal of Nanobiotechnology
#690
of 1,532 outputs
Outputs of similar age
#155,569
of 259,787 outputs
Outputs of similar age from Journal of Nanobiotechnology
#6
of 9 outputs
Altmetric has tracked 23,571,271 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,532 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 46th percentile – i.e., 46% 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 259,787 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.