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The effect of nanoparticle size on the probability to cross the blood-brain barrier: an in-vitro endothelial cell model

Overview of attention for article published in Journal of Nanobiotechnology, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

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182 Dimensions

Readers on

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253 Mendeley
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Title
The effect of nanoparticle size on the probability to cross the blood-brain barrier: an in-vitro endothelial cell model
Published in
Journal of Nanobiotechnology, March 2015
DOI 10.1186/s12951-015-0075-7
Pubmed ID
Authors

Malka Shilo, Anat Sharon, Koby Baranes, Menachem Motiei, Jean-Paul M Lellouche, Rachela Popovtzer

Abstract

During the last decade nanoparticles have gained attention as promising drug delivery agents that can transport through the blood brain barrier. Recently, several studies have demonstrated that specifically targeted nanoparticles which carry a large payload of therapeutic agents can effectively enhance therapeutic agent delivery to the brain. However, it is difficult to draw definite design principles across these studies, owing to the differences in material, size, shape and targeting agents of the nanoparticles. Therefore, the main objective of this study is to develop general design principles that link the size of the nanoparticle with the probability to cross the blood brain barrier. Specifically, we investigate the effect of the nanoparticle size on the probability of barbiturate coated GNPs to cross the blood brain barrier by using bEnd.3 brain endothelial cells as an in vitro blood brain barrier model. The results show that GNPs of size 70 nm are optimal for the maximum amount of gold within the brain cells, and that 20 nm GNPs are the optimal size for maximum free surface area. These findings can help understand the effect of particle size on the ability to cross the blood brain barrier through the endothelial cell model, and design nanoparticles for brain imaging/therapy contrast agents.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Unknown 252 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 20%
Student > Master 46 18%
Researcher 33 13%
Student > Bachelor 20 8%
Student > Doctoral Student 17 7%
Other 33 13%
Unknown 53 21%
Readers by discipline Count As %
Chemistry 36 14%
Agricultural and Biological Sciences 30 12%
Engineering 25 10%
Pharmacology, Toxicology and Pharmaceutical Science 21 8%
Biochemistry, Genetics and Molecular Biology 21 8%
Other 54 21%
Unknown 66 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 July 2020.
All research outputs
#2,898,699
of 25,998,826 outputs
Outputs from Journal of Nanobiotechnology
#93
of 1,994 outputs
Outputs of similar age
#35,311
of 276,236 outputs
Outputs of similar age from Journal of Nanobiotechnology
#1
of 10 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,994 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 95% 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 276,236 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 10 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