Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data

Overview of attention for article published in Stroke, June 2019

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (80th percentile)
Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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twitter: 19 X users

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So far, Altmetric has seen 21 X posts from 19 X users, with an upper bound of 97,512 followers.

RT @MGH_RI: Featuring the research of #MGH Research Scholar @nsanar! #MGRI https://t.co/sXLkAv3ylU

RT @KostasKamnitsas: "we demonstrated the feasibility of automated acute lesion segmentation of multicenter, big stroke data repositories t…

RT @StrokeAHA_ASA: Big Data Approaches to Phenotyping Acute Ischemic #Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic R…

RT @annabonkhoff: Impressive example of automated lesion segmentation - paving the way to even more large-scale stroke studies and more fai…

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