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Nanoparticles and the Blood-Brain Barrier: Advancing from In-Vitro Models Towards Therapeutic Significance

Overview of attention for article published in Pharmaceutical Research, December 2014
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Mentioned by

twitter
1 tweeter

Citations

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88 Dimensions

Readers on

mendeley
303 Mendeley
Summary Twitter Dimensions citations
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Title
Nanoparticles and the Blood-Brain Barrier: Advancing from In-Vitro Models Towards Therapeutic Significance
Published in
Pharmaceutical Research, December 2014
DOI 10.1007/s11095-014-1545-6
Pubmed ID
25446769
Authors

David J. Mc Carthy, Meenakshi Malhotra, Aoife M. O’Mahony, John F. Cryan, Caitriona M. O’Driscoll

Abstract

The blood-brain barrier is a unique cell-based restrictive barrier that prevents the entry of many substances, including most therapeutics, into the central nervous system. A wide range of nanoparticulate delivery systems have been investigated with the aim of targeting therapeutics (drugs, nucleic acids, proteins) to the brain following administration by various routes. This review provides a comprehensive description of the design and formulation of these nanoparticles including the rationale behind individual approaches. In addition, the ability of currently available in-vitro BBB models to accurately predict the in-vivo performance of targeted nanoparticles is critically assessed.

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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 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
France 1 <1%
Unknown 300 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 59 19%
Student > Ph. D. Student 55 18%
Student > Bachelor 46 15%
Researcher 29 10%
Student > Doctoral Student 14 5%
Other 35 12%
Unknown 65 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 13%
Pharmacology, Toxicology and Pharmaceutical Science 35 12%
Chemistry 34 11%
Agricultural and Biological Sciences 26 9%
Neuroscience 18 6%
Other 70 23%
Unknown 80 26%

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 04 December 2014.
All research outputs
#20,245,139
of 22,772,779 outputs
Outputs from Pharmaceutical Research
#2,641
of 2,855 outputs
Outputs of similar age
#302,546
of 361,258 outputs
Outputs of similar age from Pharmaceutical Research
#31
of 36 outputs
Altmetric has tracked 22,772,779 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 2,855 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 361,258 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 36 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.

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