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X Demographics
Mendeley readers
Title |
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study
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Published in |
The Lancet Digital Health, June 2023
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 10 | 24% |
United States | 6 | 14% |
France | 2 | 5% |
Paraguay | 1 | 2% |
Iraq | 1 | 2% |
Argentina | 1 | 2% |
India | 1 | 2% |
Yemen | 1 | 2% |
Spain | 1 | 2% |
Other | 0 | 0% |
Unknown | 18 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 29 | 69% |
Scientists | 7 | 17% |
Practitioners (doctors, other healthcare professionals) | 5 | 12% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 13% |
Student > Bachelor | 5 | 10% |
Unspecified | 4 | 8% |
Student > Ph. D. Student | 4 | 8% |
Student > Doctoral Student | 3 | 6% |
Other | 8 | 15% |
Unknown | 21 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 19% |
Computer Science | 7 | 13% |
Unspecified | 4 | 8% |
Business, Management and Accounting | 2 | 4% |
Mathematics | 1 | 2% |
Other | 4 | 8% |
Unknown | 24 | 46% |