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Metabolism in Cancer

Overview of attention for book
Attention for Chapter 10: Metabolism in Cancer
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Mentioned by

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1 tweeter

Citations

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6 Dimensions

Readers on

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17 Mendeley
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Chapter title
Metabolism in Cancer
Chapter number 10
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_10
Pubmed ID
Book ISBNs
978-3-31-942116-2, 978-3-31-942118-6
Authors

Berndt, Nikolaus, Holzhütter, Hermann-Georg, Nikolaus Berndt, Hermann-Georg Holzhütter

Editors

Thorsten Cramer, Clemens A. Schmitt

Abstract

Cellular metabolism basically consists of the conversion of chemical compounds taken up from the extracellular environment into energy (conserved in energy-rich bonds of organic phosphates) and a wide array of organic molecules serving as catalysts (enzymes), information carriers (nucleic acids), and building blocks for cellular structures such as membranes or ribosomes. Metabolic modeling aims at the construction of mathematical representations of the cellular metabolism that can be used to calculate the concentration of cellular molecules and the rates of their mutual chemical interconversion in response to varying external conditions as, for example, hormonal stimuli or supply of essential nutrients. Based on such calculations, it is possible to quantify complex cellular functions as cellular growth, detoxification of drugs and xenobiotic compounds or synthesis of exported molecules. Depending on the specific questions to metabolism addressed, the methodological expertise of the researcher, and available experimental information, different conceptual frameworks have been established, allowing the usage of computational methods to condense experimental information from various layers of organization into (self-) consistent models. Here, we briefly outline the main conceptual frameworks that are currently exploited in metabolism research.

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Professor 3 18%
Student > Ph. D. Student 3 18%
Student > Bachelor 2 12%
Student > Master 2 12%
Other 2 12%
Other 5 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 35%
Medicine and Dentistry 3 18%
Agricultural and Biological Sciences 2 12%
Mathematics 1 6%
Physics and Astronomy 1 6%
Other 1 6%
Unknown 3 18%

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
#19,593,297
of 22,013,594 outputs
Outputs from Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer
#138
of 170 outputs
Outputs of similar age
#246,576
of 287,435 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 22,013,594 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 170 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 287,435 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