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Mendeley readers
Attention Score in Context
| Title |
Magnetic Core–Shell Silica Nanoparticles with Large Radial Mesopores for siRNA Delivery
|
|---|---|
| Published in |
Small, May 2016
|
| DOI | 10.1002/smll.201600531 |
| Pubmed ID | |
| Authors |
Lin Xiong, Jingxu Bi, Youhong Tang, Shi‐Zhang Qiao |
| Abstract |
A novel type of magnetic core-shell silica nanoparticles is developed for small interfering RNA (siRNA) delivery. These nanoparticles are fabricated by coating super-paramagnetic magnetite nanocrystal clusters with radial large-pore mesoporous silica. The amine functionalized nanoparticles have small particle sizes around 150 nm, large radial mesopores of 12 nm, large surface area of 411 m(2) g(-1) , high pore volume of 1.13 cm(3) g(-1) and magnetization of 25 emu g(-1) . Thus, these nanoparticles possess both high loading capacity of siRNA (2 wt%) and strong magnetic response under an external magnetic field. An acid-liable coating composed of tannic acid can further protect the siRNA loaded in these nanoparticles. The coating also increases the dispersion stability of the siRNA-loaded carrier and can serve as a pH-responsive releasing switch. Using the magnetic silica nanoparticles with tannic acid coating as carriers, functional siRNA has been successfully delivered into the cytoplasm of human osteosarcoma cancer cells in vitro. The delivery is significantly enhanced with the aid of the external magnetic field. |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 21% |
| Researcher | 14 | 15% |
| Student > Bachelor | 12 | 13% |
| Student > Master | 12 | 13% |
| Student > Postgraduate | 6 | 6% |
| Other | 10 | 11% |
| Unknown | 20 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 21 | 22% |
| Materials Science | 17 | 18% |
| Engineering | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Other | 9 | 10% |
| Unknown | 30 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 29 July 2022.
All research outputs
#2,606,714
of 25,090,809 outputs
Outputs from Small
#571
of 8,442 outputs
Outputs of similar age
#44,076
of 341,654 outputs
Outputs of similar age from Small
#11
of 67 outputs
Altmetric has tracked 25,090,809 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 93% 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 341,654 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 86% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.