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Application of Metabolomics to Multiple Chemical Sensitivity Research

Overview of attention for article published in Nihon eiseigaku zasshi Japanese journal of hygiene, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 147)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
16 tweeters
facebook
3 Facebook pages

Readers on

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3 Mendeley
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Title
Application of Metabolomics to Multiple Chemical Sensitivity Research
Published in
Nihon eiseigaku zasshi Japanese journal of hygiene, January 2016
DOI 10.1265/jjh.71.94
Pubmed ID
Authors

Takahiko KATOH, Yuki FUJIWARA, Chihiro NAKASHITA, Xi LU, Aya HISADA, Wataru MIYAZAKI, Kenichi AZUMA, Mari TANIGAWA, Iwao UCHIYAMA, Naoki KUNUGITA

Abstract

Multiple chemical sensitivity (MCS) is an acquired chronic disorder characterized by nonspecific symptoms in multiple organ systems associated with exposure to low-level chemicals. Diagnosis of MCS can be difficult because of the inability to assess the causal relationship between exposure and symptoms. No standardized objective measures for the identification of MCS and no precise definition of this disorder have been established. Recent technological advances in mass spectrometry have significantly improved our capacity to obtain more data from each biological sample. Metabolomics comprises the methods and techniques that are used to determine the small-level molecules in biofluids and tissues. The metabolomic profile-the metabolome-has multiple applications in many biological sciences, including the development of new diagnostic tools for medicine. We performed metabolomics to detect the difference between 9 patients with MCS and 9 controls. We identified 183 substances whose levels were beyond the normal detection limit. The most prominent differences included significant increases in the levels of both hexanoic acid and pelargonic acid, and also a significant decrease in the level of acetylcarnitine in patients with MCS. In conclusion, using metabolomics analysis, we uncovered a hitherto unrecognized alteration in the levels of metabolites in MCS. These changes may have important biological implications and may have a significant potential for use as biomarkers.

Twitter Demographics

The data shown below were collected from the profiles of 16 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Researcher 1 33%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Environmental Science 1 33%
Agricultural and Biological Sciences 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 December 2018.
All research outputs
#609,328
of 12,371,547 outputs
Outputs from Nihon eiseigaku zasshi Japanese journal of hygiene
#5
of 147 outputs
Outputs of similar age
#22,915
of 339,783 outputs
Outputs of similar age from Nihon eiseigaku zasshi Japanese journal of hygiene
#1
of 12 outputs
Altmetric has tracked 12,371,547 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 147 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 96% 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 339,783 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 93% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.