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Theranostic barcoded nanoparticles for personalized cancer medicine

Overview of attention for article published in Nature Communications, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
24 X users
patent
4 patents
facebook
5 Facebook pages

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
209 Mendeley
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Title
Theranostic barcoded nanoparticles for personalized cancer medicine
Published in
Nature Communications, November 2016
DOI 10.1038/ncomms13325
Pubmed ID
Authors

Zvi Yaari, Dana da Silva, Assaf Zinger, Evgeniya Goldman, Ashima Kajal, Rafi Tshuva, Efrat Barak, Nitsan Dahan, Dov Hershkovitz, Mor Goldfeder, Janna Shainsky Roitman, Avi Schroeder

Abstract

Personalized medicine promises to revolutionize cancer therapy by matching the most effective treatment to the individual patient. Using a nanoparticle-based system, we predict the therapeutic potency of anticancer medicines in a personalized manner. We carry out the diagnostic stage through a multidrug screen performed inside the tumour, extracting drug activity information with single cell sensitivity. By using 100 nm liposomes, loaded with various cancer drugs and corresponding synthetic DNA barcodes, we find a correlation between the cell viability and the drug it was exposed to, according to the matching barcodes. Based on this screen, we devise a treatment protocol for mice bearing triple-negative breast-cancer tumours, and its results confirm the diagnostic prediction. We show that the use of nanotechnology in cancer care is effective for generating personalized treatment protocols.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Turkey 1 <1%
Australia 1 <1%
Unknown 205 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 28%
Researcher 30 14%
Student > Master 25 12%
Student > Bachelor 14 7%
Student > Doctoral Student 12 6%
Other 34 16%
Unknown 36 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 15%
Chemistry 30 14%
Agricultural and Biological Sciences 22 11%
Engineering 19 9%
Pharmacology, Toxicology and Pharmaceutical Science 18 9%
Other 42 20%
Unknown 46 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 17 March 2021.
All research outputs
#545,608
of 25,774,185 outputs
Outputs from Nature Communications
#9,315
of 58,396 outputs
Outputs of similar age
#10,307
of 319,966 outputs
Outputs of similar age from Nature Communications
#206
of 966 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,396 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done well, scoring higher than 84% 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 319,966 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 96% of its contemporaries.
We're also able to compare this research output to 966 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.