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Exploring the effect of laser excitation wavelength on signal recovery with deep tissue transmission Raman spectroscopy

Overview of attention for article published in Analyst, January 2016
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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6 tweeters

Citations

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9 Dimensions

Readers on

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25 Mendeley
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Title
Exploring the effect of laser excitation wavelength on signal recovery with deep tissue transmission Raman spectroscopy
Published in
Analyst, January 2016
DOI 10.1039/c6an00490c
Pubmed ID
Authors

Adrian Ghita, Pavel Matousek, Nicholas Stone

Abstract

The aim of this research was to find the optimal Raman excitation wavelength to attain the largest possible sensitivity in deep Raman spectroscopy of breast tissue. This involved careful consideration of factors such as tissue absorption, scattering, fluorescence and instrument response function. The study examined the tissue absorption profile combined with Raman scattering and detection sensitivity at seven different, laser excitation wavelengths in the near infrared region of the spectrum. Several key scenarios in regards to the sample position within the tissue were examined. The highest Raman band visibility over the background ratio in respect to biological tissue provides the necessary information for determining the optimum laser excitation wavelength for deep tissue analysis using transmission Raman spectroscopy, including detection of breast calcifications. For thick tissues with a mix of protein and fat, such as breast tissue, 790-810 nm is concluded to be the optimum excitation wavelength for deep Raman measurements.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 36%
Student > Master 2 8%
Unspecified 2 8%
Researcher 2 8%
Other 1 4%
Other 1 4%
Unknown 8 32%
Readers by discipline Count As %
Physics and Astronomy 6 24%
Chemistry 5 20%
Unspecified 2 8%
Engineering 2 8%
Agricultural and Biological Sciences 1 4%
Other 0 0%
Unknown 9 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 July 2016.
All research outputs
#3,199,475
of 12,346,870 outputs
Outputs from Analyst
#613
of 3,709 outputs
Outputs of similar age
#77,120
of 267,157 outputs
Outputs of similar age from Analyst
#14
of 134 outputs
Altmetric has tracked 12,346,870 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,709 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 83% 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 267,157 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 70% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.