| Title |
The Emergence of Translational Epidemiology: From Scientific Discovery to Population Health Impact
|
|---|---|
| Published in |
American Journal of Epidemiology, August 2010
|
| DOI | 10.1093/aje/kwq211 |
| Pubmed ID | |
| Authors |
Muin J Khoury, Marta Gwinn, John P A Ioannidis |
| Abstract |
Recent emphasis on translational research (TR) is highlighting the role of epidemiology in translating scientific discoveries into population health impact. The authors present applications of epidemiology in TR through 4 phases designated T1-T4, illustrated by examples from human genomics. In T1, epidemiology explores the role of a basic scientific discovery (e.g., a disease risk factor or biomarker) in developing a "candidate application" for use in practice (e.g., a test used to guide interventions). In T2, epidemiology can help to evaluate the efficacy of a candidate application by using observational studies and randomized controlled trials. In T3, epidemiology can help to assess facilitators and barriers for uptake and implementation of candidate applications in practice. In T4, epidemiology can help to assess the impact of using candidate applications on population health outcomes. Epidemiology also has a leading role in knowledge synthesis, especially using quantitative methods (e.g., meta-analysis). To explore the emergence of TR in epidemiology, the authors compared articles published in selected issues of the Journal in 1999 and 2009. The proportion of articles identified as translational doubled from 16% (11/69) in 1999 to 33% (22/66) in 2009 (P = 0.02). Epidemiology is increasingly recognized as an important component of TR. By quantifying and integrating knowledge across disciplines, epidemiology provides crucial methods and tools for TR. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Spain | 3 | <1% |
| United Kingdom | 2 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| Israel | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 297 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 79 | 25% |
| Student > Ph. D. Student | 51 | 16% |
| Student > Master | 29 | 9% |
| Professor | 20 | 6% |
| Student > Bachelor | 20 | 6% |
| Other | 74 | 23% |
| Unknown | 44 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 107 | 34% |
| Social Sciences | 31 | 10% |
| Psychology | 25 | 8% |
| Agricultural and Biological Sciences | 23 | 7% |
| Nursing and Health Professions | 18 | 6% |
| Other | 53 | 17% |
| Unknown | 60 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 March 2021.
All research outputs
#4,990,257
of 24,764,450 outputs
Outputs from American Journal of Epidemiology
#3,239
of 9,324 outputs
Outputs of similar age
#20,288
of 100,009 outputs
Outputs of similar age from American Journal of Epidemiology
#23
of 55 outputs
Altmetric has tracked 24,764,450 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,324 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 100,009 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.