Extracting health-related causality from twitter messages using natural language processing

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2019

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About this Attention Score

Average Attention Score compared to outputs of the same age
Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter: 5 X users

Readers on

mendeley: 109 Mendeley

Summary X

So far, Altmetric has seen 5 X posts from 5 X users, with an upper bound of 5,278 followers.

Aberdeen NLP reading group on 5 May Extracting health-related causality from twitter messages using natural language processing https://t.co/lgxR9tHkcV

03 May 2021

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RT @bcastbloggers: Extracting health-related causality from twitter messages using natural language processing. https://t.co/0Bly7okiDb

06 Apr 2019

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Extracting health-related causality from twitter messages using natural language processing. https://t.co/0Bly7okiDb

06 Apr 2019

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#NLP "Extracting health-related causality from twitter messages using natural language processing." https://t.co/fC0lOnwumM

05 Apr 2019

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Extracting health-related causality from twitter messages using natural language processing https://t.co/sbtImEOCcx #bmcmedinformdecismak

04 Apr 2019

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