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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 28% |
| Student > Master | 4 | 11% |
| Researcher | 3 | 8% |
| Lecturer | 2 | 6% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 14 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 8 | 22% |
| Chemistry | 8 | 22% |
| Engineering | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 6% |
| Unknown | 15 | 42% |
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
#6,733,890
of 22,881,154 outputs
Outputs from Analyst
#1,350
of 5,804 outputs
Outputs of similar age
#107,502
of 393,701 outputs
Outputs of similar age from Analyst
#84
of 503 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,804 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 76% 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 393,701 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 72% of its contemporaries.
We're also able to compare this research output to 503 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.