| Title |
Stimuli-Responsive Polymers and Their Applications in Nanomedicine
|
|---|---|
| Published in |
Biointerphases, February 2012
|
| DOI | 10.1007/s13758-011-0009-3 |
| Pubmed ID | |
| Authors |
Etienne Cabane, Xiaoyan Zhang, Karolina Langowska, Cornelia G. Palivan, Wolfgang Meier |
| Abstract |
This review focuses on smart nano-materials built of stimuli-responsive (SR) polymers and will discuss their numerous applications in the biomedical field. The authors will first provide an overview of different stimuli and their corresponding, responsive polymers. By introducing myriad functionalities, SR polymers present a wide range of possibilities in the design of stimuli-responsive devices, making use of virtually all types of polymer constructs, from self-assembled structures (micelles, vesicles) to surfaces (polymer brushes, films) as described in the second section of the review. In the last section of this review the authors report on some of the most promising applications of stimuli-responsive polymers in nanomedicine. In particular, we will discuss applications pertaining to diagnosis, where SR polymers are used to construct sensors capable of selective recognition and quantification of analytes and physical variables, as well as imaging devices. We will also highlight some examples of responsive systems used for therapeutic applications, including smart drug delivery systems (micelles, vesicles, dendrimers...) and surfaces for regenerative medicine. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 593 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| India | 2 | <1% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Portugal | 1 | <1% |
| United Kingdom | 1 | <1% |
| Singapore | 1 | <1% |
| Italy | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 579 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 152 | 26% |
| Student > Master | 106 | 18% |
| Researcher | 70 | 12% |
| Student > Bachelor | 55 | 9% |
| Student > Doctoral Student | 30 | 5% |
| Other | 80 | 13% |
| Unknown | 100 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 200 | 34% |
| Materials Science | 61 | 10% |
| Engineering | 55 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 31 | 5% |
| Agricultural and Biological Sciences | 30 | 5% |
| Other | 93 | 16% |
| Unknown | 123 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 July 2016.
All research outputs
#2,957,206
of 23,947,846 outputs
Outputs from Biointerphases
#29
of 544 outputs
Outputs of similar age
#24,501
of 255,371 outputs
Outputs of similar age from Biointerphases
#1
of 5 outputs
Altmetric has tracked 23,947,846 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 544 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 94% 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 255,371 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them