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X Demographics
Mendeley readers
| Title |
Should Electronic Health Record-Derived Social and Behavioral Data Be Used in Precision Medicine Research?
|
|---|---|
| Published in |
The AMA Journal of Ethic, September 2018
|
| DOI | 10.1001/amajethics.2018.873 |
| Pubmed ID | |
| Authors |
Brittany Hollister, Vence L Bonham |
| Abstract |
Precision medicine research initiatives aim to use participants' electronic health records (EHRs) to obtain rich longitudinal data for large-scale precision medicine studies. Although EHRs vary widely in their inclusion and formatting of social and behavioral data, these data are essential to investigating genetic and social factors in health disparities. We explore possible biases in collecting, using, and interpreting EHR-based social and behavioral data in precision medicine research and their consequences for health equity. |
X Demographics
The data shown below were collected from the profiles of 23 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 | 7 | 30% |
| United Kingdom | 1 | 4% |
| Japan | 1 | 4% |
| Kenya | 1 | 4% |
| Germany | 1 | 4% |
| Brazil | 1 | 4% |
| France | 1 | 4% |
| Curaçao | 1 | 4% |
| Spain | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 65% |
| Scientists | 4 | 17% |
| Practitioners (doctors, other healthcare professionals) | 3 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 11% |
| Researcher | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 21 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Nursing and Health Professions | 4 | 9% |
| Psychology | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 21 | 45% |