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Timeline
X Demographics
Mendeley readers
Title |
Leveraging Open Electronic Health Record Data and Environmental Exposures Data to Derive Insights Into Rare Pulmonary Disease
|
---|---|
Published in |
Frontiers in Artificial Intelligence, June 2022
|
DOI | 10.3389/frai.2022.918888 |
Pubmed ID | |
Authors |
Karamarie Fecho, Stanley C. Ahalt, Michael Knowles, Ashok Krishnamurthy, Margaret Leigh, Kenneth Morton, Emily Pfaff, Max Wang, Hong Yi |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 25% |
United States | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 33% |
Unspecified | 1 | 17% |
Professor | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Nursing and Health Professions | 1 | 17% |
Agricultural and Biological Sciences | 1 | 17% |
Unknown | 2 | 33% |