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A Protocol for Improved Precision and Increased Confidence in Nanoparticle Tracking Analysis Concentration Measurements between 50 and 120 nm in Biological Fluids

Overview of attention for article published in Frontiers in Cardiovascular Medicine, November 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Title
A Protocol for Improved Precision and Increased Confidence in Nanoparticle Tracking Analysis Concentration Measurements between 50 and 120 nm in Biological Fluids
Published in
Frontiers in Cardiovascular Medicine, November 2017
DOI 10.3389/fcvm.2017.00068
Pubmed ID
Authors

Martin E. M. Parsons, Damien McParland, Paulina B. Szklanna, Matthew Ho Zhi Guang, Karen O’Connell, Hugh D. O’Connor, Christopher McGuigan, Fionnuala Ní Áinle, Amanda McCann, Patricia B. Maguire

Abstract

Nanoparticle tracking analysis (NTA) can be used to quantitate extracellular vesicles (EVs) in biological samples and is widely considered a useful diagnostic tool to detect disease. However, accurately profiling EVs can be challenging due to their small size and heterogeneity. Here, we aimed to provide a protocol to facilitate high-precision particle quantitation by NTA in plasma, the supernatant of activated purified platelets [the platelet releasate (PR)] and in serum, to increase confidence in NTA particle enumeration. The overall variance and the precision of NTA measurements were quantified by root mean square error and relative standard error. Using a bootstrapping approach, we found that increasing video replicates from 5 s × 60 s to 25 s × 60 s captures led to a reduction in overall variance and a reproducible increase in the precision of NTA particle-concentration quantitation for all three biofluids. We then validated our approach in an extended cohort of 32 healthy donors. Our results indicate that for vesicles sized between 50 and 120 nm, the precision of routine NTA measurements in serum, plasma, and PR can be significantly improved by increasing the number of video replicates captured. Our protocol provides a common platform to statistical compare particle size distribution profiles in the exosomal-vesicle size range across a variety of biofluids and in both healthy donor and patient groups.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Researcher 15 17%
Student > Master 13 15%
Student > Bachelor 8 9%
Student > Doctoral Student 5 6%
Other 5 6%
Unknown 27 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 22%
Medicine and Dentistry 11 12%
Immunology and Microbiology 5 6%
Agricultural and Biological Sciences 4 4%
Chemistry 4 4%
Other 18 20%
Unknown 27 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 November 2017.
All research outputs
#14,084,389
of 24,892,887 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,644
of 8,790 outputs
Outputs of similar age
#158,834
of 335,510 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#9
of 22 outputs
Altmetric has tracked 24,892,887 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,790 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 80% 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 335,510 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.