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Nanotechnology-Based Precision Tools for the Detection and Treatment of Cancer

Overview of attention for book
Attention for Chapter 5: Theranostic Lipid Nanoparticles for Cancer Medicine
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45 Mendeley
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Chapter title
Theranostic Lipid Nanoparticles for Cancer Medicine
Chapter number 5
Book title
Nanotechnology-Based Precision Tools for the Detection and Treatment of Cancer
Published in
Cancer treatment and research, January 2015
DOI 10.1007/978-3-319-16555-4_5
Pubmed ID
Book ISBNs
978-3-31-916554-7, 978-3-31-916555-4
Authors

Danielle M. Charron, Juan Chen, Gang Zheng, Charron, Danielle M., Chen, Juan, Zheng, Gang

Abstract

Disease heterogeneity within and between patients necessitates a patient-focused approach to cancer treatment. This exigency forms the basis for the medical practice termed personalized medicine. An emerging, important component of personalized medicine is theranostics. Theranostics describes the co-delivery of therapeutic and imaging agents in a single formulation. Co-delivery enables noninvasive, real-time visualization of drug fate, including drug pharmacokinetic and biodistribution profiles and intratumoral accumulation. These technological advances assist drug development and ultimately may translate to improved treatment planning at the bedside. Nanocarriers are advantageous for theranostics as their size and versatility enables integration of multiple functional components in a single platform. This chapter focuses on recent developments in advanced lipid theranostic nanomedicine from the perspective of the "all-in-one" or the "one-for-all" approach. The design paradigm of "all-in-one" is the most common approach for assembling theranostic lipid nanoparticles, where the advantages of theranostics are achieved by combining multiple components that each possesses a specific singular function for therapeutic activity or imaging contrast. We will review lipoprotein nanoparticles and liposomes as representatives of the "all-in-one" approach. Complementary to the "all-in-one" approach is the emerging paradigm of the "one-for-all" approach where nanoparticle components are intrinsically multifunctional. We will discuss the "one-for-all" approach using porphysomes as a representative. We will further discuss how the concept of "one-for-all" might overcome the regulatory hurdles facing theranostic lipid nanomedicine.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 8 18%
Unspecified 6 13%
Student > Master 3 7%
Student > Bachelor 3 7%
Other 5 11%
Unknown 11 24%
Readers by discipline Count As %
Chemistry 10 22%
Unspecified 6 13%
Agricultural and Biological Sciences 5 11%
Biochemistry, Genetics and Molecular Biology 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 5 11%
Unknown 14 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 April 2015.
All research outputs
#14,808,845
of 22,800,560 outputs
Outputs from Cancer treatment and research
#86
of 165 outputs
Outputs of similar age
#197,965
of 353,070 outputs
Outputs of similar age from Cancer treatment and research
#9
of 17 outputs
Altmetric has tracked 22,800,560 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 165 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 46th percentile – i.e., 46% 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 353,070 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.