You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Title |
Assessing longitudinal housing status using Electronic Health Record data: a comparison of natural language processing, structured data, and patient-reported history
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2023
|
DOI | 10.3389/frai.2023.1187501 |
Pubmed ID | |
Authors |
Alec B. Chapman, Kristina Cordasco, Stephanie Chassman, Talia Panadero, Dylan Agans, Nicholas Jackson, Kimberly Clair, Richard Nelson, Ann Elizabeth Montgomery, Jack Tsai, Erin Finley, Sonya Gabrielian |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
Switzerland | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 11% |
Unspecified | 1 | 11% |
Student > Ph. D. Student | 1 | 11% |
Student > Doctoral Student | 1 | 11% |
Student > Master | 1 | 11% |
Other | 0 | 0% |
Unknown | 4 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 33% |
Veterinary Science and Veterinary Medicine | 1 | 11% |
Computer Science | 1 | 11% |
Unspecified | 1 | 11% |
Unknown | 3 | 33% |