Detection and characterization of translational research in cancer and cardiovascular medicine

Background Scientists and experts in science policy have become increasingly interested in strengthening translational research. Efforts to understand the nature of translational research and monitor policy interventions face an obstacle: how can translational research be defined in order to facilit...

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Bibliographic Details
Main Authors: Jones, David Shumway (Contributor), Cambrosio, Alberto (Author), Andrei, Mogoutov (Contributor)
Other Authors: Massachusetts Institute of Technology. Program in Science, Technology and Society (Contributor)
Format: Article
Language:English
Published: BioMed Central Ltd., 2011-09-12T20:48:32Z.
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Online Access:Get fulltext
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001 65652
042 |a dc 
100 1 0 |a Jones, David Shumway  |e author 
100 1 0 |a Massachusetts Institute of Technology. Program in Science, Technology and Society  |e contributor 
100 1 0 |a Jones, David Shumway  |e contributor 
100 1 0 |a Jones, David Shumway  |e contributor 
100 1 0 |a Andrei, Mogoutov  |e contributor 
700 1 0 |a Cambrosio, Alberto  |e author 
700 1 0 |a Andrei, Mogoutov  |e author 
245 0 0 |a Detection and characterization of translational research in cancer and cardiovascular medicine 
260 |b BioMed Central Ltd.,   |c 2011-09-12T20:48:32Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/65652 
520 |a Background Scientists and experts in science policy have become increasingly interested in strengthening translational research. Efforts to understand the nature of translational research and monitor policy interventions face an obstacle: how can translational research be defined in order to facilitate analysis of it? We describe methods of scientometric analysis that can do this. Methods We downloaded bibliographic and citation data from all articles published in 2009 in the 75 leading journals in cancer and in cardiovascular medicine (roughly 15,000 articles for each field). We calculated citation relationships between journals and between articles and we extracted the most prevalent natural language concepts. Results Network analysis and mapping revealed polarization between basic and clinical research, but with translational links between these poles. The structure of the translational research in cancer and cardiac medicine is, however, quite different. In the cancer literature the translational interface is composed of different techniques (e.g., gene expression analysis) that are used across the various subspecialties (e.g., specific tumor types) within cancer research and medicine. In the cardiac literature, the clinical problems are more disparate (i.e., from congenital anomalies to coronary artery disease); although no distinctive translational interface links these fields, translational research does occur in certain subdomains, especially in research on atherosclerosis and hypertension. Conclusions These techniques can be used to monitor the continuing evolution of translational research in medicine and the impact of interventions designed to enhance it. 
520 |a Robert Wood Johnson Foundation (RWJF Investigator Award in Health Policy Research) 
520 |a Fonds québécois de la recherche sur la société et la culture (FQRSC SE-124896) 
520 |a Canadian Institutes of Health Research (MOP-93553) 
520 |a National Science Foundation (U.S.) (SBE-0965259) 
546 |a en_US 
655 7 |a Article 
773 |t Journal of Translational Medicine