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A single–cell type transcriptomics map of human tissues

descriptionPublicationkeyboard_double_arrow_right Article 30 Jul 2021 Norway, United Kingdom, Sweden English Publisher:American Association for the Advancement of Science (AAAS)Journal:Science Advances, volume 7 (eissn: 2375-2548, Copyright policy )Funded by:kawforskning | unidentified
Authors: Max Karlsson; Cheng Zhang; Loren Méar; Wen Zhong; Andreas Digre; Borbala Katona; Evelina Sjöstedt; +18 Authors
APC: 3,837.12 EUR

doi: 10.1126/sciadv.abh2169

pmid: 34321199

pmc: PMC8318366

handle: 10037/24317

A single–cell type transcriptomics map of human tissues

Abstract

Single-cell RNA analysis has been integrated with spatial protein profiling to create a single–cell type map of human tissues.

Countries
Norway, United Kingdom, Sweden
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Keywords

Proteomics, Proteome, Cell- och molekylärbiologi, Gene Expression Profiling, Antibodies, Humans, Transcriptome, Cell and Molecular Biology, Research Articles

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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.
    		 Top 0.01%
    influence
    This indicator 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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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
1K
Top 0.01%
Top 1%
Top 0.01%
Green
gold
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