↓ Skip to main content

The many facets of Raman spectroscopy for biomedical analysis

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
153 Dimensions

Readers on

mendeley
237 Mendeley
Title
The many facets of Raman spectroscopy for biomedical analysis
Published in
Analytical & Bioanalytical Chemistry, November 2014
DOI 10.1007/s00216-014-8311-9
Pubmed ID
Authors

Christoph Krafft, Jürgen Popp

Abstract

A critical review is presented on the use of linear and nonlinear Raman microspectroscopy in biomedical diagnostics of bacteria, cells, and tissues. This contribution is combined with an overview of the achievements of our research group. Linear Raman spectroscopy offers a wealth of chemical and molecular information. Its routine clinical application poses a challenge due to relatively weak signal intensities and confounding overlapping effects. Nonlinear variants of Raman spectroscopy such as coherent anti-Stokes Raman scattering (CARS) and stimulated Raman scattering (SRS) have been recognized as tools for rapid image acquisition. Imaging applications benefit from the fact that contrast is based on the chemical composition and molecular structures in a label-free and nondestructive manner. Although not label-free, surface enhanced Raman scattering (SERS) has also been recognized as a complementary biomedical tool to increase sensitivity. The current state of the art is evaluated, illustrative examples are given, future developments are pointed out, and important reviews and references from the current literature are selected. The topics are identification of bacteria and single cells, imaging of single cells, Raman activated cell sorting, diagnosis of tissue sections, fiber optic Raman spectroscopy, and progress in coherent Raman scattering in tissue diagnosis. The roles of networks-such as Raman4clinics and CLIRSPEC on a European level-and early adopters in the translation, dissemination, and validation of new methods are discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Italy 1 <1%
Finland 1 <1%
Australia 1 <1%
Ukraine 1 <1%
Spain 1 <1%
Unknown 230 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 22%
Researcher 45 19%
Student > Master 28 12%
Student > Bachelor 19 8%
Student > Doctoral Student 16 7%
Other 28 12%
Unknown 50 21%
Readers by discipline Count As %
Chemistry 40 17%
Physics and Astronomy 36 15%
Engineering 28 12%
Biochemistry, Genetics and Molecular Biology 22 9%
Medicine and Dentistry 15 6%
Other 34 14%
Unknown 62 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 February 2015.
All research outputs
#15,755,393
of 25,394,764 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,763
of 9,624 outputs
Outputs of similar age
#201,149
of 369,565 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#72
of 123 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,624 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 369,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.