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 |
What Precision Medicine Can Learn from Rare Genetic Disease Research and Translation.
|
|---|---|
| Published in |
The AMA Journal of Ethic, September 2018
|
| DOI | 10.1001/amajethics.2018.834 |
| Pubmed ID | |
| Authors |
Holly K Tabor, Aaron Goldenberg |
| Abstract |
The goal of this article is to examine the intersections of precision health and rare diseases. Specifically, we propose 3 lessons from the last decade of applying genomics to rare diseases: (1) precision can end one odyssey and start another; (2) precise interventions can exacerbate health disparities and create other ethical dilemmas; and (3) democratization of data will transform research and translation. By studying experiences of patients with rare diseases, researchers, clinicians, and policymakers can anticipate similar challenges in precision medicine and hopefully mitigate potential harms or injustices. |
X Demographics
The data shown below were collected from the profiles of 35 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 | 20% |
| Canada | 6 | 17% |
| Spain | 3 | 9% |
| Brazil | 1 | 3% |
| Netherlands | 1 | 3% |
| Dominican Republic | 1 | 3% |
| Slovenia | 1 | 3% |
| United Kingdom | 1 | 3% |
| Belgium | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 69% |
| Scientists | 7 | 20% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 17% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Librarian | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 17% |
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Nursing and Health Professions | 5 | 17% |
| Agricultural and Biological Sciences | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 8 | 27% |