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Metabolomics Biomarkers for Detection of Colorectal Neoplasms: A Systematic Review

Overview of attention for article published in Cancers, July 2018
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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 (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

policy
1 policy source
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3 X users
patent
1 patent

Readers on

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94 Mendeley
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Article details
Title
Metabolomics Biomarkers for Detection of Colorectal Neoplasms: A Systematic Review
Published in
Cancers, July 2018
DOI 10.3390/cancers10080246
Pubmed ID
Authors
Abstract

Several approaches have been suggested to be useful in the early detection of colorectal neoplasms. Since metabolites are closely related to the phenotype and are available from different human bio-fluids, metabolomics are candidates for non-invasive early detection of colorectal neoplasms. We aimed to summarize current knowledge on performance characteristics of metabolomics biomarkers that are potentially applicable in a screening setting for the early detection of colorectal neoplasms. We conducted a systematic literature search in PubMed and Web of Science and searched for biomarkers for the early detection of colorectal neoplasms in easy-to-collect human bio-fluids. Information on study design and performance characteristics for diagnostic accuracy was extracted. Finally, we included 41 studies in our analysis investigating biomarkers in different bio-fluids (blood, urine, and feces). Although single metabolites mostly had limited ability to distinguish people with and without colorectal neoplasms, promising results were reported for metabolite panels, especially amino acid panels in blood samples, as well as nucleosides in urine samples in several studies. However, validation of the results is limited. Panels of metabolites consisting of amino acids in blood and nucleosides in urinary samples might be useful biomarkers for early detection of advanced colorectal neoplasms. However, to make metabolomic biomarkers clinically applicable, future research in larger studies and external validation of the results is required.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 11 12%
Researcher 11 12%
Student > Ph. D. Student 10 11%
Other 6 6%
Student > Doctoral Student 5 5%
Other 20 21%
Unknown 31 33%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Biochemistry, Genetics and Molecular Biology 14 15%
Pharmacology, Toxicology and Pharmaceutical Science 9 10%
Agricultural and Biological Sciences 6 6%
Immunology and Microbiology 4 4%
Other 11 12%
Unknown 33 35%
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 12 December 2023.
All research outputs
#4,858,568
of 25,463,724 outputs
Outputs from Cancers
#2,169
of 15,557 outputs
Outputs of similar age
#86,377
of 341,747 outputs
Outputs of similar age from Cancers
#18
of 106 outputs
Altmetric has tracked 25,463,724 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,557 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 84% 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 341,747 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.