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Nature
Article . 1966 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Nature
Article . 1967
Data sources: Europe PubMed Central
https://dx.doi.org/10.1038/209...
Article
Data sources: Microsoft Academic Graph
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Efficiency of Ion Transport Mechanisms

descriptionPublicationkeyboard_double_arrow_right Article 22 Jan 1966 English Publisher:Springer Science and Business Media LLCJournal:Nature, volume 209, pages 398-399 (issn: 0028-0836, eissn: 1476-4687, Copyright policy )
Authors: N R, Joseph;

doi: 10.1038/209398a0

pmid: 5920243

Efficiency of Ion Transport Mechanisms

Abstract

IT has often been assumed, as in the theory of active transport of ions, that metabolic energy is required to transfer sodium ions from a low intracellular concentration to a higher concentration in blood serum or an external fluid1–3. On that assumption, the efficiency of any transport mechanism would be expressed as the ratio of output of work to input of energy. Theoretical calculations have been based on the following approximation, derived from the laws of ideal solutions:

Related Organizations
Keywords

Biological Transport, Active

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    popularity
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    influence
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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!
5
Average
Top 10%
Average
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