The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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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% |