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Diagnosis of gastroenterological diseases by metabolome analysis using gas chromatography–mass spectrometry

Overview of attention for article published in Journal of Gastroenterology, November 2011
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet

Citations

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77 Dimensions

Readers on

mendeley
75 Mendeley
Title
Diagnosis of gastroenterological diseases by metabolome analysis using gas chromatography–mass spectrometry
Published in
Journal of Gastroenterology, November 2011
DOI 10.1007/s00535-011-0493-8
Pubmed ID
Authors

Masaru Yoshida, Naoya Hatano, Shin Nishiumi, Yasuhiro Irino, Yoshihiro Izumi, Tadaomi Takenawa, Takeshi Azuma

Abstract

Recently, metabolome analysis has been increasingly applied to biomarker detection and disease diagnosis in medical studies. Metabolome analysis is a strategy for studying the characteristics and interactions of low molecular weight metabolites under a specific set of conditions and is performed using mass spectrometry and nuclear magnetic resonance spectroscopy. There is a strong possibility that changes in metabolite levels reflect the functional status of a cell because alterations in their levels occur downstream of DNA, RNA, and protein. Therefore, the metabolite profile of a cell is more likely to represent the current status of a cell than DNA, RNA, or protein. Thus, owing to the rapid development of mass spectrometry analytical techniques metabolome analysis is becoming an important experimental method in life sciences including the medical field. Here, we describe metabolome analysis using liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry (GC-MS), capillary electrophoresis-mass spectrometry, and matrix assisted laser desorption ionization-mass spectrometry. Then, the findings of studies about GC-MS-based metabolome analysis of gastroenterological diseases are summarized, and our research results are also introduced. Finally, we discuss the realization of disease diagnosis by metabolome analysis. The development of metabolome analysis using mass spectrometry will aid the discovery of novel biomarkers, hopefully leading to the early detection of various diseases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 25%
Student > Ph. D. Student 17 23%
Student > Bachelor 7 9%
Student > Master 7 9%
Professor > Associate Professor 5 7%
Other 8 11%
Unknown 12 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 27%
Medicine and Dentistry 14 19%
Chemistry 10 13%
Biochemistry, Genetics and Molecular Biology 5 7%
Environmental Science 3 4%
Other 12 16%
Unknown 11 15%
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 13 June 2014.
All research outputs
#4,165,214
of 22,757,090 outputs
Outputs from Journal of Gastroenterology
#139
of 1,083 outputs
Outputs of similar age
#24,354
of 141,923 outputs
Outputs of similar age from Journal of Gastroenterology
#2
of 5 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,083 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 85% 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 141,923 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 81% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.