Identification of spatial expression trends in single-cell gene expression data

Overview of attention for article published in Nature Methods, March 2018

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In the top 5% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (93rd percentile)
Good Attention Score compared to outputs of the same age and source (67th percentile)

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twitter: 48 X users
patent: 5 patents

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So far, Altmetric has seen 53 X posts from 48 X users, with an upper bound of 256,192 followers.

@10xGenomics @macosko AB: Couple different approaches to do this: trendsceek: https://t.co/uiZhVgc1Cf SpatialDE (@vallens, Sarah Teichmann, @OliverStegle): https://t.co/dF7QTvpQvD #singlecellgenomicsday

24 Jan 2020

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RT @serayamaouche: #GoodReads #Transcriptomics: Finding structure in gene expression https://t.co/jKgvKXVzFX https://t.co/icbBh3YwOO https:…

15 Apr 2018

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#GoodReads #Transcriptomics: Finding structure in gene expression https://t.co/jKgvKXVzFX https://t.co/icbBh3YwOO https://t.co/uDv1dtRG1h #Omics #RNAseq https://t.co/vfTaHGuc3O

15 Apr 2018

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Articles reviewed: Svensson et al, (2018) SpatialDE: identification of spatiallyvariable genes. https://t.co/Im9rNrXa66 (2018) Edsgärd et al., (2018) Identification of spatial expression trends in single-cell gene expression data. https://t.co/GcucIaosDy

14 Apr 2018

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