Machine learning integration of multimodal data identifies key features of blood pressure regulation Article Swipe
Panayiotis Louca
,
Tran Tran
,
Clea du Toit
,
Paraskevi Christofidou
,
Tim D. Spector
,
Massimo Mangino
,
Karsten Suhre
,
Sandosh Padmanabhan
,
Cristina Menni
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.ebiom.2022.104243
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.ebiom.2022.104243
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ebiom.2022.104243
- http://www.thelancet.com/article/S235239642200425X/pdf
- OA Status
- gold
- Cited By
- 33
- References
- 75
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4294816208
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4294816208Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ebiom.2022.104243Digital Object Identifier
- Title
-
Machine learning integration of multimodal data identifies key features of blood pressure regulationWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-06Full publication date if available
- Authors
-
Panayiotis Louca, Tran Tran, Clea du Toit, Paraskevi Christofidou, Tim D. Spector, Massimo Mangino, Karsten Suhre, Sandosh Padmanabhan, Cristina MenniList of authors in order
- Landing page
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https://doi.org/10.1016/j.ebiom.2022.104243Publisher landing page
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https://www.thelancet.com/article/S235239642200425X/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.thelancet.com/article/S235239642200425X/pdfDirect OA link when available
- Concepts
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Context (archaeology), Blood pressure, Medicine, Omics, Internal medicine, Bioinformatics, Computational biology, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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33Total citation count in OpenAlex
- Citations by year (recent)
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2025: 16, 2024: 10, 2023: 5, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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75Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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