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Dove Medical Press

Quantitative nanohistological investigation of scleroderma: an atomic force microscopy-based approach to disease characterization

Overview of attention for article published in International Journal of Nanomedicine, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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5 X users
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1 Wikipedia page

Citations

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17 Dimensions

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24 Mendeley
Title
Quantitative nanohistological investigation of scleroderma: an atomic force microscopy-based approach to disease characterization
Published in
International Journal of Nanomedicine, January 2017
DOI 10.2147/ijn.s118690
Pubmed ID
Authors

Adam P Strange, Sebastian Aguayo, Tarek Ahmed, Nicola Mordan, Richard Stratton, Stephen R Porter, Susan Parekh, Laurent Bozec

Abstract

Scleroderma (or systemic sclerosis, SSc) is a disease caused by excess crosslinking of collagen. The skin stiffens and becomes painful, while internally, organ function can be compromised by the less elastic collagen. Diagnosis of SSc is often only possible in advanced cases by which treatment time is limited. A more detailed analysis of SSc may provide better future treatment options and information of disease progression. Recently, the histological stain picrosirius red showing collagen register has been combined with atomic force microscopy (AFM) to study SSc. Skin from healthy individuals and SSc patients was biopsied, stained and studied using AFM. By investigating the crosslinking of collagen at a smaller hierarchical stage, the effects of SSc were more pronounced. Changes in morphology and Young's elastic modulus were observed and quantified; giving rise to a novel technique, we have termed "quantitative nanohistology". An increase in nanoscale stiffness in the collagen for SSc compared with healthy individuals was seen by a significant increase in the Young's modulus profile for the collagen. These markers of stiffer collagen in SSc are similar to the symptoms experienced by patients, giving additional hope that in the future, nanohistology using AFM can be readily applied as a clinical tool, providing detailed information of the state of collagen.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 25%
Student > Ph. D. Student 4 17%
Student > Master 2 8%
Other 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 10 42%
Readers by discipline Count As %
Engineering 3 13%
Biochemistry, Genetics and Molecular Biology 2 8%
Agricultural and Biological Sciences 2 8%
Medicine and Dentistry 2 8%
Nursing and Health Professions 1 4%
Other 4 17%
Unknown 10 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 November 2023.
All research outputs
#5,437,474
of 25,584,565 outputs
Outputs from International Journal of Nanomedicine
#518
of 4,077 outputs
Outputs of similar age
#99,354
of 422,901 outputs
Outputs of similar age from International Journal of Nanomedicine
#9
of 70 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,077 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 87% 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 422,901 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 76% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.