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caporaso-lab/An-Introduction-To-Applied-Bioinformatics: 0.1.2: Rewritten content in all *Fundamentals* chapters

Authors: Greg Caporaso; Anders Pitman; Jai Ram Rideout; John Chase; Evan Bolyen; iab-reader1; nonsense64; +16 Authors

caporaso-lab/An-Introduction-To-Applied-Bioinformatics: 0.1.2: Rewritten content in all *Fundamentals* chapters

Abstract

We're excited to announce the 0.1.2 version of An Introduction to Applied Bioinformatics (IAB). In this release the content in the Fundamentals chapters has been expanded and re-written. All of the code in IAB has also been re-written in Python 3. You can find instructions for reading the latest development and release versions of IAB, both statically and interactively, at http://readIAB.org.

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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).
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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.
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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!
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