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Identification of metabolites with anticancer properties by computational metabolomics

Overview of attention for article published in Molecular Cancer, June 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
81 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Identification of metabolites with anticancer properties by computational metabolomics
Published in
Molecular Cancer, June 2008
DOI 10.1186/1476-4598-7-57
Pubmed ID
Authors

Adrian K Arakaki, Roman Mezencev, Nathan J Bowen, Ying Huang, John F McDonald, Jeffrey Skolnick

Abstract

Certain endogenous metabolites can influence the rate of cancer cell growth. For example, diacylglycerol, ceramides and sphingosine, NAD+ and arginine exert this effect by acting as signaling molecules, while carrying out other important cellular functions. Metabolites can also be involved in the control of cell proliferation by directly regulating gene expression in ways that are signaling pathway-independent, e.g. by direct activation of transcription factors or by inducing epigenetic processes. The fact that metabolites can affect the cancer process on so many levels suggests that the change in concentration of some metabolites that occurs in cancer cells could have an active role in the progress of the disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
United Kingdom 1 1%
Japan 1 1%
United States 1 1%
Luxembourg 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 27%
Student > Ph. D. Student 16 20%
Professor 10 12%
Student > Bachelor 9 11%
Professor > Associate Professor 4 5%
Other 13 16%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 38%
Biochemistry, Genetics and Molecular Biology 15 19%
Medicine and Dentistry 9 11%
Chemistry 5 6%
Engineering 4 5%
Other 10 12%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 June 2008.
All research outputs
#5,841,436
of 22,705,019 outputs
Outputs from Molecular Cancer
#397
of 1,716 outputs
Outputs of similar age
#23,855
of 82,166 outputs
Outputs of similar age from Molecular Cancer
#2
of 4 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,716 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 76% 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 82,166 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 70% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.