↓ Skip to main content

Design and development of multifunctional polyphosphoester-based nanoparticles for ultrahigh paclitaxel dual loading

Overview of attention for article published in Nanoscale, January 2017
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
18 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Design and development of multifunctional polyphosphoester-based nanoparticles for ultrahigh paclitaxel dual loading
Published in
Nanoscale, January 2017
DOI 10.1039/c7nr05935c
Pubmed ID
Authors

Fuwu Zhang, Sarosh Khan, Richen Li, Justin A. Smolen, Shiyi Zhang, Guizhi Zhu, Lu Su, Ashlee A. Jahnke, Mahmoud Elsabahy, Xiaoyuan Chen, Karen L. Wooley

Abstract

Multifunctional polyphosphoester-based nanoparticles capable of loading paclitaxel (PTX) both chemically and physically were prepared, achieving an ultrahigh equivalent PTX aqueous concentration of 25.30 mg mL(-1). The dual-loaded nanoparticles were effective in killing cancer cells, which has the potential to minimize the amount of nanocarriers needed for clinical applications, due to their ultrahigh loading capacity.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Researcher 4 22%
Student > Master 3 17%
Lecturer 1 6%
Professor 1 6%
Other 4 22%
Readers by discipline Count As %
Chemistry 5 28%
Engineering 3 17%
Pharmacology, Toxicology and Pharmaceutical Science 3 17%
Biochemistry, Genetics and Molecular Biology 2 11%
Business, Management and Accounting 1 6%
Other 3 17%
Unknown 1 6%

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 16 October 2017.
All research outputs
#10,635,975
of 11,991,714 outputs
Outputs from Nanoscale
#2,683
of 3,333 outputs
Outputs of similar age
#231,792
of 275,395 outputs
Outputs of similar age from Nanoscale
#101
of 141 outputs
Altmetric has tracked 11,991,714 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 3,333 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 275,395 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 141 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.