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X Demographics
Mendeley readers
| Title |
The precision medicine process for treating rare disease using the artificial intelligence tool mediKanren
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2022
|
| DOI | 10.3389/frai.2022.910216 |
| Pubmed ID | |
| Authors |
Aleksandra Foksinska, Camerron M. Crowder, Andrew B. Crouse, Jeff Henrikson, William E. Byrd, Gregory Rosenblatt, Michael J. Patton, Kaiwen He, Thi K. Tran-Nguyen, Marissa Zheng, Stephen A. Ramsey, Nada Amin, John Osborne, UAB Precision Medicine Institute, Matthew Might, Stephen Barnes, William E. Byrd, Mei-Jan Chen, Andrew B. Crouse, Camerron M. Crowder, Mary E. Crumbley, Madeline Eckenrode, Crayton A. Fargason, Nathaniel Fehrmann, Aleksandra Foksinska, Kaiwen He, Forest Huls, Matthew Jarrell, Lindsay Jenkins, Meg McCalley, Matthew Might, Tamsyn Osborn, Michael J. Patton, Elizabeth Pollard, Gregory Rosenblatt, Sienna Rucka, Nicholas T. Southern, Thi K. Tran-Nguyen, Jillian Tinglin, Jordan H. Whitlock |
X Demographics
The data shown below were collected from the profiles of 15 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 | 6 | 40% |
| India | 2 | 13% |
| Switzerland | 1 | 7% |
| Netherlands | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 4 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 17% |
| Student > Bachelor | 2 | 11% |
| Other | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Professor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 8 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Chemical Engineering | 1 | 6% |
| Unspecified | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 9 | 50% |