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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Naturearrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Nature
Article . 1970 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Nature
Article . 1970
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Key Generation by Computer

Authors: R J, Pankhurst;

Key Generation by Computer

Abstract

KEYS for the identification of specimens have been used by biologists for several centuries. A method is described here for generating such keys automatically by computer, instead of composing them by hand, which until recently was the only way to produce them. The use of keys is not confined to biology, and applications for the computer method have been found in the earth sciences, medicine and engineering. Fig. 1 is an example of a computer-produced key for the British species of plants of the genus Epilobium L. (Willow-herb). It should be emphasized that the key-generating program is primarily a tool for the identification of objects and not for their classification, although it is in fact capable of creating a crude classification for the purposes of constructing a key.

Keywords

Computers, Plants, Biology

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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!
11
Average
Top 10%
Average
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