Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2023

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In the top 5% of all research outputs scored by Altmetric
One of the highest-scoring outputs from this source (#2 of 2,120)
High Attention Score compared to outputs of the same age (99th percentile)
High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news: 32 news outlets

twitter: 3 X users

Citations

dimensions_citation: 6 Dimensions

Readers on

mendeley: 31 Mendeley

Summary News X Dimensions citations

So far, Altmetric has seen 3 X posts from 3 X users, with an upper bound of 41,623 followers.

RT @BMC_series: AI-powered approaches to extracting data from unstructured electronic health records provide more credible real-world evide…

24 Aug 2023

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RT @BMC_series: AI-powered approaches to extracting data from unstructured electronic health records provide more credible real-world evide…

24 Aug 2023

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AI-powered approaches to extracting data from unstructured electronic health records provide more credible real-world evidence for migraine research compared to conventional structured data, reports a study published in #BMCMedInformDecisMak. Read more: ht

24 Aug 2023

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