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X Demographics
Mendeley readers
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
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% |