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Correlative nonlinear optical microscopy and infrared nanoscopy reveals collagen degradation in altered parchments

Overview of attention for article published in Scientific Reports, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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1 news outlet
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2 X users
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1 Facebook page
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1 Google+ user

Citations

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50 Dimensions

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mendeley
74 Mendeley
Title
Correlative nonlinear optical microscopy and infrared nanoscopy reveals collagen degradation in altered parchments
Published in
Scientific Reports, May 2016
DOI 10.1038/srep26344
Pubmed ID
Authors

Gaël Latour, Laurianne Robinet, Alexandre Dazzi, François Portier, Ariane Deniset-Besseau, Marie-Claire Schanne-Klein

Abstract

This paper presents the correlative imaging of collagen denaturation by nonlinear optical microscopy (NLO) and nanoscale infrared (IR) spectroscopy to obtain morphological and chemical information at different length scales. Such multiscale correlated measurements are applied to the investigation of ancient parchments, which are mainly composed of dermal fibrillar collagen. The main issue is to characterize gelatinization, the ultimate and irreversible alteration corresponding to collagen denaturation to gelatin, which may also occur in biological tissues. Key information about collagen and gelatin signatures is obtained in parchments and assessed by characterizing the denaturation of pure collagen reference samples. A new absorbing band is observed near the amide I band in the IR spectra, correlated to the onset of fluorescence signals in NLO images. Meanwhile, a strong decrease is observed in Second Harmonic signals, which are a structural probe of the fibrillar organization of the collagen at the micrometer scale. NLO microscopy therefore appears as a powerful tool to reveal collagen degradation in a non-invasive way. It should provide a relevant method to assess or monitor the condition of collagen-based materials in museum and archival collections and opens avenues for a broad range of applications regarding this widespread biological material.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Canada 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 31%
Researcher 12 16%
Professor > Associate Professor 7 9%
Student > Doctoral Student 5 7%
Professor 3 4%
Other 7 9%
Unknown 17 23%
Readers by discipline Count As %
Chemistry 17 23%
Physics and Astronomy 13 18%
Materials Science 6 8%
Agricultural and Biological Sciences 3 4%
Social Sciences 3 4%
Other 14 19%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 June 2016.
All research outputs
#2,613,340
of 22,873,031 outputs
Outputs from Scientific Reports
#22,358
of 123,561 outputs
Outputs of similar age
#47,161
of 334,143 outputs
Outputs of similar age from Scientific Reports
#639
of 3,413 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,561 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 81% 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 334,143 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 85% of its contemporaries.
We're also able to compare this research output to 3,413 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.