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Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study

Overview of attention for article published in The Lancet Digital Health, June 2023
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40 news outlets
blogs
2 blogs
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42 X users
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1 Facebook page

Citations

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10 Dimensions

Readers on

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45 Mendeley
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Title
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study
Published in
The Lancet Digital Health, June 2023
DOI 10.1016/s2589-7500(23)00065-1
Pubmed ID
Authors

Amitava Banerjee, Ashkan Dashtban, Suliang Chen, Laura Pasea, Johan H Thygesen, Ghazaleh Fatemifar, Benoit Tyl, Tomasz Dyszynski, Folkert W Asselbergs, Lars H Lund, Tom Lumbers, Spiros Denaxas, Harry Hemingway

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Other 3 7%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Student > Postgraduate 2 4%
Other 5 11%
Unknown 22 49%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Computer Science 7 16%
Agricultural and Biological Sciences 1 2%
Mathematics 1 2%
Psychology 1 2%
Other 1 2%
Unknown 25 56%