↓ Skip to main content

Metabolism in Cancer

Overview of attention for book
Attention for Chapter 8: Metabolism in Cancer
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Metabolism in Cancer
Chapter number 8
Book title
Metabolism in Cancer
Published in
Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer, August 2016
DOI 10.1007/978-3-319-42118-6_8
Pubmed ID
Book ISBNs
978-3-31-942116-2, 978-3-31-942118-6
Authors

Apostolova, Ivayla, Wedel, Florian, Brenner, Winfried, Ivayla Apostolova, Florian Wedel, Winfried Brenner

Editors

Thorsten Cramer, Clemens A. Schmitt

Abstract

Molecular imaging employing PET/CT enables in vivo visualization, characterization, and measurement of biologic processes in tumors at a molecular and cellular level. Using specific metabolic tracers, information about the integrated function of multiple transporters and enzymes involved in tumor metabolic pathways can be depicted, and the tracers can be directly applied as biomarkers of tumor biology. In this review, we discuss the role of F-18-fluorodeoxyglucose (FDG) as an in vivo glycolytic marker which reflects alterations of glucose metabolism in cancer cells. This functional molecular imaging technique offers a complementary approach to anatomic imaging such as computed tomography (CT) and magnetic resonance imaging (MRI) and has found widespread application as a diagnostic modality in oncology to monitor tumor biology, optimize the therapeutic management, and guide patient care. Moreover, emerging methods for PET imaging of further biologic processes relevant to cancer are reviewed, with a focus on tumor hypoxia and aberrant tumor perfusion. Hypoxic tumors are associated with poor disease control and increased resistance to cytotoxic and radiation treatment. In vivo imaging of hypoxia, perfusion, and mismatch of metabolism and perfusion has the potential to identify specific features of tumor microenvironment associated with poor treatment outcome and, thus, contribute to personalized treatment approaches.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Researcher 4 15%
Student > Doctoral Student 3 11%
Student > Bachelor 3 11%
Student > Master 3 11%
Other 5 19%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 8 30%
Biochemistry, Genetics and Molecular Biology 5 19%
Agricultural and Biological Sciences 4 15%
Computer Science 2 7%
Engineering 2 7%
Other 1 4%
Unknown 5 19%

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 26 August 2016.
All research outputs
#11,312,023
of 12,716,854 outputs
Outputs from Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer
#97
of 127 outputs
Outputs of similar age
#219,600
of 261,415 outputs
Outputs of similar age from Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer
#1
of 1 outputs
Altmetric has tracked 12,716,854 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 127 research outputs from this source. They receive a mean Attention Score of 4.0. 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 261,415 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them