scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution

Overview of attention for article published in Genome Biology (Online Edition), April 2021

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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 (92nd percentile)

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twitter: 65 tweeters

Citations

dimensions_citation: 9 Dimensions

Readers on

mendeley: 61 Mendeley

Summary Twitter Dimensions citations

So far, Altmetric has seen 74 tweets from 65 users, with an upper bound of 210,061 followers.

Catalina Vallejos presenting scMET to model DNA methylation data in single cells and offering a robust overdispersion estimate https://t.co/EtBomGRZn3

10 Mar 2022

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RT @BioDecoded: scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution | Genome Biology https://t.co/llgAx6Whs…

02 May 2021

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RT @BioDecoded: scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution | Genome Biology https://t.co/llgAx6Whs…

01 May 2021

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RT @BioDecoded: scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution | Genome Biology https://t.co/llgAx6Whs…

30 Apr 2021

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