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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dual-Responsive Core Crosslinking Glycopolymer-Drug Conjugates Nanoparticles for Precise Hepatocarcinoma Therapy
|
|---|---|
| Published in |
Frontiers in Pharmacology, July 2018
|
| DOI | 10.3389/fphar.2018.00663 |
| Pubmed ID | |
| Authors |
Jing Wu, Jiayi Yuan, Baotong Ye, Yaling Wu, Zheng Xu, Jinghua Chen, Jingxiao Chen |
| Abstract |
Nanoparticles (NPs) have demonstrated a potential for hepatocarcinoma therapy. However, the effective and safe NP-mediated drug transportation is still challenging due to premature leakage and inaccurate release of the drug. Herein, we designed a series of core cross-linking galactose-based glycopolymer-drug conjugates (GPDs) NPs with both redox-responsive and pH-sensitive characteristics to target and program drug release. Glycopolymer is comprised of galactose-containing units, which gather on the surface of GPD NPs and exhibit specific recognition to hepatocarcinoma cells, which over-express the asialoglycoprotein receptor. GPD NPs are stable in a normal physiological environment and can rapidly release the drug in hepatocarcinoma cells, which are reductive and acidic, by combining disulfide bond cross-linked core, as well as boronate ester-linked hydrophilic glycopolymer chain and the hydrophobic drug. |
X Demographics
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Doctoral Student | 3 | 9% |
| Researcher | 3 | 9% |
| Other | 3 | 9% |
| Other | 6 | 18% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 12 | 36% |
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Chemical Engineering | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Materials Science | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 9 | 27% |
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 31 July 2018.
All research outputs
#20,529,173
of 23,098,660 outputs
Outputs from Frontiers in Pharmacology
#10,328
of 16,456 outputs
Outputs of similar age
#260,115
of 296,621 outputs
Outputs of similar age from Frontiers in Pharmacology
#275
of 407 outputs
Altmetric has tracked 23,098,660 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 16,456 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 296,621 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.