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Development and evaluation of RNA-seq methods

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2010 English Publisher:Springer Science and Business Media LLCJournal:Genome Biology, volume 11, page P26 (issn: 1465-6906, Copyright policy )
Authors: Nir Friedman; Lin Fan; Xian Adiconis; Andreas Gnirke; Dawn Thompson; Moran Yassour; Moran Yassour; +5 Authors

doi: 10.1186/gb-2010-11-s1-p26 , 10.1186/1465-6906-11-s1-p26

handle: 1721.1/69868

Development and evaluation of RNA-seq methods

Abstract

This article is part of the supplement: Beyond the Genome: The true gene count, human evolution and disease genomics

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  • BIP!
    Impact byBIP!
    citations
    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).
    		 6
    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.
    		 Average
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citations
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!
6
Top 10%
Top 10%
Average
Green
gold