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Raman spectroscopy for screening and diagnosis of cervical cancer

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2015
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

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73 Dimensions

Readers on

mendeley
103 Mendeley
Title
Raman spectroscopy for screening and diagnosis of cervical cancer
Published in
Analytical & Bioanalytical Chemistry, August 2015
DOI 10.1007/s00216-015-8946-1
Pubmed ID
Authors

Fiona M. Lyng, Damien Traynor, Inês R. M. Ramos, Franck Bonnier, Hugh J. Byrne

Abstract

Cervical cancer is the fourth most common cancer in women worldwide and mainly affects younger women. The mortality associated with cervical cancer can be reduced if the disease is detected at the pre-cancer stage. Current best-practice methods include cytopathology, HPV testing, and histopathology, but these methods are limited in terms of subjectivity, cost, and time. There is an unmet clinical need for new methods to aid clinicians in the early detection of cervical pre-cancer. These methods should be objective and rapid and require minimal sample preparation. Raman spectroscopy is a vibrational spectroscopic technique by which incident radiation is used to induce vibrations in the molecules of a sample and the scattered radiation may be used to characterise the sample in a rapid and non-destructive manner. Raman spectroscopy is sensitive to subtle biochemical changes occurring at the molecular level, enabling spectral variations corresponding to disease onset to be detected. Over the past 15 years, there have been numerous reports revealing the potential of Raman spectroscopy together with multivariate statistical analysis for the detection of a variety of cancers. This paper discusses the recent advances and challenges for cervical-cancer screening and diagnosis and offers some perspectives for the future.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Student > Bachelor 12 12%
Student > Doctoral Student 11 11%
Researcher 9 9%
Student > Master 9 9%
Other 16 16%
Unknown 20 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 16%
Engineering 13 13%
Medicine and Dentistry 12 12%
Chemistry 12 12%
Physics and Astronomy 8 8%
Other 17 17%
Unknown 25 24%
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 17 August 2021.
All research outputs
#5,338,695
of 25,371,288 outputs
Outputs from Analytical & Bioanalytical Chemistry
#830
of 9,618 outputs
Outputs of similar age
#59,017
of 261,665 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#7
of 179 outputs
Altmetric has tracked 25,371,288 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 9,618 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 90% 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 261,665 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 77% of its contemporaries.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.