A survey of best practices for RNA-seq data analysis

Overview of attention for article published in Genome Biology (Online Edition), January 2016

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In the top 5% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#29 of 3,998)
High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news: 1 news outlet
blogs: 4 blogs
twitter: 427 tweeters
patent: 4 patents
facebook: 11 Facebook pages

wikipedia: 11 Wikipedia pages
googleplus: 3 Google+ users
reddit: 1 Redditor
video: 1 video uploader

Citations

dimensions_citation: 1492 Dimensions

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mendeley: 9799 Mendeley
citeulike: 31 CiteULike

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So far, Altmetric has seen 519 tweets from 427 users, with an upper bound of 981,529 followers.

A survey of best practices for RNA-seq data analysis https://t.co/tRHHLmBM5D

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RT @metapredict: 2016: claimed n=3 was ok for calculating differential expression (across 10's of thousands of rows https://t.co/DLPybPJWep…

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2016: claimed n=3 was ok for calculating differential expression (across 10's of thousands of rows https://t.co/DLPybPJWep) As implausible as that general advice might seem, in 2022 now DEseq2 and edgeR don't seem to work very well. What a surprise. https

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A survey of best practices for RNA-seq data analysis https://t.co/sa6X88WUBz

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