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BioMed Research International
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BioMed Research International
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BioMed Research International
Other literature type . 2018
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https://dx.doi.org/10.1155/201...
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Computational Molecular Networks and Network Pharmacology

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2017 English Publisher:WileyJournal:BioMed Research International, volume 2,017, pages 1-1 (issn: 2314-6133, eissn: 2314-6141, Copyright policy )
Authors: Kang Ning; Xinming Zhao; Ansgar Poetsch; Wei-Hua Chen; Jialiang Yang;

doi: 10.1155/2017/7573904

pmid: 29250548

pmc: PMC5698785

Computational Molecular Networks and Network Pharmacology

Keywords

Pharmacology, Editorial, Computational Biology, Humans, Metabolic Networks and Pathways

  • 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).
    		 51
    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.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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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!
51
Top 10%
Top 10%
Top 10%
Green
gold
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