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Detection of gold nanorods uptake by macrophages using scattering analyses combined with diffusion reflection measurements as a potential tool for in vivo atherosclerosis tracking

Overview of attention for article published in International Journal of Nanomedicine, July 2015
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Mentioned by

twitter
2 tweeters

Citations

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27 Dimensions

Readers on

mendeley
19 Mendeley
Title
Detection of gold nanorods uptake by macrophages using scattering analyses combined with diffusion reflection measurements as a potential tool for in vivo atherosclerosis tracking
Published in
International Journal of Nanomedicine, July 2015
DOI 10.2147/ijn.s86615
Pubmed ID
Authors

Dror Fixler, Rinat Ankri, Attila Tarnok, Susanne Melzer

Abstract

In this study, we report a potential noninvasive technique for the detection of vulnerable plaques using scatter analyses with flow cytometry (FCM) method combined with the diffusion reflection (DR) method. The atherosclerotic plaques are commonly divided into two major categories: stable and vulnerable. The vulnerable plaques are rich with inflammatory cells, mostly macrophages (MΦ), which release enzymes that break down collagen in the cap. The detection method is based on uptake of gold nanorods (GNR) by MΦ. The GNR have unique optical properties that enable their detection using the FCM method, based on their scattering properties, and using the DR method, based on their unique absorption properties. This work demonstrates that after GNR labeling of MΦ, 1) the FCM scatter values increased up to 3.7-fold with arbitrary intensity values increasing from 1,110 to 4,100 and 2) the DR slope changed from an average slope of 0.196 (MΦ only) to an average slope of 0.827 (MΦ labeled with GNR) (P<0.001 for both cases). The combination of FCM and DR measurements provides a potential novel, highly sensitive, and noninvasive method for the identification of atherosclerotic vulnerable plaques, aimed to develop a potential tool for in vivo tracking.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 47%
Researcher 5 26%
Student > Master 1 5%
Other 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 2 11%
Readers by discipline Count As %
Engineering 4 21%
Agricultural and Biological Sciences 4 21%
Chemistry 3 16%
Biochemistry, Genetics and Molecular Biology 2 11%
Physics and Astronomy 1 5%
Other 0 0%
Unknown 5 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 10 July 2015.
All research outputs
#2,832,435
of 5,333,871 outputs
Outputs from International Journal of Nanomedicine
#789
of 1,428 outputs
Outputs of similar age
#101,866
of 185,128 outputs
Outputs of similar age from International Journal of Nanomedicine
#87
of 126 outputs
Altmetric has tracked 5,333,871 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,428 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 29th percentile – i.e., 29% 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 185,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.