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Tumor Microenvironment

Overview of attention for book
Attention for Chapter 5: Tumor Microenvironment
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1 X user

Citations

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Chapter title
Tumor Microenvironment
Chapter number 5
Book title
Tumor Microenvironment
Published in
Advances in experimental medicine and biology, January 2016
DOI 10.1007/978-3-319-26666-4_5
Pubmed ID
Book ISBNs
978-3-31-926664-0, 978-3-31-926666-4
Authors

Grimm, Fiona, Fets, Louise, Anastasiou, Dimitrios, Fiona Grimm, Louise Fets, Dimitrios Anastasiou

Abstract

Cancer cells exhibit characteristic patterns of metabolic behaviour that can be exploited for therapeutic purposes. Conditions found within the tumour microenvironment, such as hypoxia and selective nutrient availability, are known to influence the metabolism of cancer and stromal cells. Understanding cancer metabolism requires the use of analytical methods that allow detection and quantification of many metabolites simultaneously. Gas chromatography-mass spectrometry (GC-MS) is a versatile method to quantify metabolite abundance and, in combination with stable isotope labelled compounds, can yield important insights into the activity of metabolic pathways in cancer cells. This chapter provides an overview of the use of GC-MS for metabolic analysis of adherent cancer cells with an emphasis on the technical background that should be taken into consideration when designing and executing GC-MS-based metabolomics experiments.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Student > Master 5 19%
Student > Bachelor 2 8%
Unspecified 1 4%
Other 1 4%
Other 1 4%
Unknown 9 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 23%
Medicine and Dentistry 3 12%
Chemistry 2 8%
Agricultural and Biological Sciences 2 8%
Unspecified 1 4%
Other 3 12%
Unknown 9 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 June 2016.
All research outputs
#20,334,427
of 22,879,161 outputs
Outputs from Advances in experimental medicine and biology
#3,972
of 4,950 outputs
Outputs of similar age
#330,750
of 393,703 outputs
Outputs of similar age from Advances in experimental medicine and biology
#334
of 443 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 393,703 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 443 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.