Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 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)
High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

policy: 1 policy source

twitter: 10 X users

Citations

dimensions_citation: 28 Dimensions

Readers on

mendeley: 110 Mendeley

Summary Policy documents X Dimensions citations

So far, Altmetric has seen 10 X posts from 10 X users, with an upper bound of 22,275 followers.

RT @AIHI_MQ: The IMIA Yearbook of #MedicalInformatics 2020 best paper goes to GRASP: A framework to grade and assess predictive tools for c…

30 Nov 2022

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RT @mscehealth: Congratulations to our graduate Mohamed Khalifa on winning the IMIA best paper award 2020. “Framework for evidence-based gr…

27 Aug 2020

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Congratulations to our graduate Mohamed Khalifa on winning the IMIA best paper award 2020. “Framework for evidence-based grading and assessment of predictive tools for clinical decision support”. (MSc in Health Informatics, 2012) https://t.co/JVfkbp7Yas ht

27 Aug 2020

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RT @AIHI_MQ: The IMIA Yearbook of #MedicalInformatics 2020 best paper goes to GRASP: A framework to grade and assess predictive tools for c…

26 Aug 2020

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