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Nature
Article . 2012 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Nature
Article . 2013
Data sources: Europe PubMed Central
https://dx.doi.org/10.1038/491...
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Modelling: Computing cancer

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2012 English Publisher:Springer Science and Business Media LLCJournal:Nature, volume 491, pages S62-S63 (issn: 0028-0836, eissn: 1476-4687, Copyright policy )
Authors: Neil, Savage;

doi: 10.1038/491s62a

pmid: 23320290

Modelling: Computing cancer

Abstract

Software models of complex tissues and disease are yielding a better understanding of cancer and suggesting potential treatments.

Keywords

Neovascularization, Pathologic, Physics, Computational Biology, Angiogenesis Inhibitors, Antibodies, Monoclonal, Humanized, Models, Biological, Bevacizumab, Neoplasms, Neoplastic Stem Cells, Animals, Humans, Computer Simulation, Algorithms, Mathematics, Software

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Average
Top 10%
Related to Research communities
Knowmad Institut
Cancer Research
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