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Label-free analysis of physiological hyaluronan size distribution with a solid-state nanopore sensor

Overview of attention for article published in Nature Communications, March 2018
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
21 news outlets
blogs
1 blog
twitter
8 X users

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
144 Mendeley
Title
Label-free analysis of physiological hyaluronan size distribution with a solid-state nanopore sensor
Published in
Nature Communications, March 2018
DOI 10.1038/s41467-018-03439-x
Pubmed ID
Authors

Felipe Rivas, Osama K. Zahid, Heidi L. Reesink, Bridgette T. Peal, Alan J. Nixon, Paul L. DeAngelis, Aleksander Skardal, Elaheh Rahbar, Adam R. Hall

Abstract

Hyaluronan (or hyaluronic acid, HA) is a ubiquitous molecule that plays critical roles in numerous physiological functions in vivo, including tissue hydration, inflammation, and joint lubrication. Both the abundance and size distribution of HA in biological fluids are recognized as robust indicators of various pathologies and disease progressions. However, such analyses remain challenging because conventional methods are not sufficiently sensitive, have limited dynamic range, and/or are only semi-quantitative. Here we demonstrate label-free detection and molecular weight discrimination of HA with a solid-state nanopore sensor. We first employ synthetic HA polymers to validate the measurement approach and then use the platform to determine the size distribution of as little as 10 ng of HA extracted directly from synovial fluid in an equine model of osteoarthritis. Our results establish a quantitative method for assessment of a significant molecular biomarker that bridges a gap in the current state of the art.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 22%
Researcher 18 13%
Student > Master 17 12%
Student > Bachelor 11 8%
Student > Doctoral Student 7 5%
Other 21 15%
Unknown 38 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 15%
Engineering 15 10%
Chemistry 12 8%
Agricultural and Biological Sciences 9 6%
Veterinary Science and Veterinary Medicine 8 6%
Other 32 22%
Unknown 47 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 150. 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 15 November 2022.
All research outputs
#263,785
of 24,820,264 outputs
Outputs from Nature Communications
#3,868
of 54,056 outputs
Outputs of similar age
#6,225
of 338,210 outputs
Outputs of similar age from Nature Communications
#105
of 1,220 outputs
Altmetric has tracked 24,820,264 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 54,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.0. This one has done particularly well, scoring higher than 92% 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 338,210 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 98% of its contemporaries.
We're also able to compare this research output to 1,220 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.