| Title |
NIH Disease Funding Levels and Burden of Disease
|
|---|---|
| Published in |
PLOS ONE, February 2011
|
| DOI | 10.1371/journal.pone.0016837 |
| Pubmed ID | |
| Authors |
Leslie A. Gillum, Christopher Gouveia, E. Ray Dorsey, Mark Pletcher, Colin D. Mathers, Charles E. McCulloch, S. Claiborne Johnston |
| Abstract |
An analysis of NIH funding in 1996 found that the strongest predictor of funding, disability-adjusted life-years (DALYs), explained only 39% of the variance in funding. In 1998, Congress requested that the Institute of Medicine (IOM) evaluate priority-setting criteria for NIH funding; the IOM recommended greater consideration of disease burden. We examined whether the association between current burden and funding has changed since that time. |
X Demographics
The data shown below were collected from the profiles of 75 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 | 23 | 31% |
| Canada | 4 | 5% |
| United Kingdom | 3 | 4% |
| Italy | 2 | 3% |
| India | 2 | 3% |
| Sweden | 2 | 3% |
| New Zealand | 1 | 1% |
| El Salvador | 1 | 1% |
| Poland | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 32 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 55 | 73% |
| Scientists | 14 | 19% |
| Practitioners (doctors, other healthcare professionals) | 5 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 4% |
| United Kingdom | 2 | 1% |
| Netherlands | 2 | 1% |
| Colombia | 1 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Bangladesh | 1 | <1% |
| Israel | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 179 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 18% |
| Student > Ph. D. Student | 30 | 15% |
| Student > Bachelor | 23 | 12% |
| Student > Master | 20 | 10% |
| Student > Doctoral Student | 14 | 7% |
| Other | 47 | 24% |
| Unknown | 29 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 49 | 25% |
| Agricultural and Biological Sciences | 22 | 11% |
| Social Sciences | 16 | 8% |
| Psychology | 12 | 6% |
| Biochemistry, Genetics and Molecular Biology | 10 | 5% |
| Other | 51 | 26% |
| Unknown | 38 | 19% |