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Identifying oral disease variables associated with pneumonia emergence by application of machine learning to integrated medical and dental big data to inform eHealth approaches

Overview of attention for article published in Frontiers in Dental Medicine, September 2022
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2 X users

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24 Mendeley
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Title
Identifying oral disease variables associated with pneumonia emergence by application of machine learning to integrated medical and dental big data to inform eHealth approaches
Published in
Frontiers in Dental Medicine, September 2022
DOI 10.3389/fdmed.2022.1005140
Pubmed ID
Authors

Neel Shimpi, Ingrid Glurich, Aloksagar Panny, Harshad Hegde, Frank A. Scannapieco, Amit Acharya

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 13%
Student > Bachelor 2 8%
Unspecified 1 4%
Professor > Associate Professor 1 4%
Other 1 4%
Other 0 0%
Unknown 16 67%
Readers by discipline Count As %
Medicine and Dentistry 2 8%
Unspecified 1 4%
Nursing and Health Professions 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Decision Sciences 1 4%
Other 1 4%
Unknown 17 71%