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A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research

Overview of attention for article published in International Journal of Molecular Sciences, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
19 tweeters

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
95 Mendeley
Title
A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research
Published in
International Journal of Molecular Sciences, December 2016
DOI 10.3390/ijms18010024
Pubmed ID
Authors

David Beale, Oliver Jones, Avinash Karpe, Saravanan Dayalan, Ding Oh, Konstantinos Kouremenos, Warish Ahmed, Enzo Palombo

Abstract

The application of metabolomics to biological samples has been a key focus in systems biology research, which is aimed at the development of rapid diagnostic methods and the creation of personalized medicine. More recently, there has been a strong focus towards this approach applied to non-invasively acquired samples, such as saliva and exhaled breath. The analysis of these biological samples, in conjunction with other sample types and traditional diagnostic tests, has resulted in faster and more reliable characterization of a range of health disorders and diseases. As the sampling process involved in collecting exhaled breath and saliva is non-intrusive as well as comparatively low-cost and uses a series of widely accepted methods, it provides researchers with easy access to the metabolites secreted by the human body. Owing to its accuracy and rapid nature, metabolomic analysis of saliva and breath (known as salivaomics and breathomics, respectively) is a rapidly growing field and has shown potential to be effective in detecting and diagnosing the early stages of numerous diseases and infections in preclinical studies. This review discusses the various collection and analyses methods currently applied in two of the least used non-invasive sample types in metabolomics, specifically their application in salivaomics and breathomics research. Some of the salient research completed in this field to date is also assessed and discussed in order to provide a basis to advocate their use and possible future scientific directions.

Twitter Demographics

The data shown below were collected from the profiles of 19 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
South Africa 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 20%
Student > Master 17 18%
Student > Ph. D. Student 16 17%
Student > Bachelor 10 11%
Other 5 5%
Other 13 14%
Unknown 15 16%
Readers by discipline Count As %
Chemistry 16 17%
Medicine and Dentistry 13 14%
Agricultural and Biological Sciences 11 12%
Biochemistry, Genetics and Molecular Biology 9 9%
Immunology and Microbiology 4 4%
Other 16 17%
Unknown 26 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 26 October 2019.
All research outputs
#966,548
of 14,112,226 outputs
Outputs from International Journal of Molecular Sciences
#254
of 12,198 outputs
Outputs of similar age
#36,618
of 376,497 outputs
Outputs of similar age from International Journal of Molecular Sciences
#16
of 526 outputs
Altmetric has tracked 14,112,226 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,198 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 97% 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 376,497 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 526 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 96% of its contemporaries.