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Mendeley readers
Attention Score in Context
| Title |
Core‐Cone Structured Monodispersed Mesoporous Silica Nanoparticles with Ultra‐large Cavity for Protein Delivery
|
|---|---|
| Published in |
Small, October 2015
|
| DOI | 10.1002/smll.201501449 |
| Pubmed ID | |
| Authors |
Chun Xu, Meihua Yu, Owen Noonan, Jun Zhang, Hao Song, Hongwei Zhang, Chang Lei, Yuting Niu, Xiaodan Huang, Yannan Yang, Chengzhong Yu |
| Abstract |
A new type of monodispersed mesoporous silica nanoparticles with a core-cone structure (MSN-CC) has been synthesized. The large cone-shaped pores are formed by silica lamellae closely packed encircling a spherical core, showing a structure similar to the flower dahlia. MSN-CC has a large pore size of 45 nm and a high pore volume of 2.59 cm(3) g(-1) . MSN-CC demonstrates a high loading capacity of large proteins and successfully delivers active β-galactosidase into cells, showing their potential as efficient nanocarriers for the cellular delivery of proteins with large molecular weights. |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 24% |
| Student > Master | 12 | 14% |
| Student > Bachelor | 7 | 8% |
| Professor > Associate Professor | 5 | 6% |
| Researcher | 4 | 5% |
| Other | 12 | 14% |
| Unknown | 23 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 23 | 28% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Chemical Engineering | 5 | 6% |
| Materials Science | 5 | 6% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 33 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 July 2019.
All research outputs
#5,213,214
of 24,571,708 outputs
Outputs from Small
#1,405
of 7,909 outputs
Outputs of similar age
#64,504
of 280,142 outputs
Outputs of similar age from Small
#13
of 70 outputs
Altmetric has tracked 24,571,708 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,909 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 79% 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 280,142 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 75% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.