Biomedical innovation at the laboratory, clinical and commercial interface: A new method for mapping research projects, publications and patents in the field of microarrays

Mogoutov, Andreï; Cambrosio, Alberto; Keating, Peter; Mustar, Philippe

doi:10.1016/j.joi.2008.06.005

Cited by 21 publications

(15 citation statements)

References 22 publications

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“…Despite the value of the translation of scientific activities into medical innovations (Mogoutov, Cambrosio, Keating, & Mustar, 2008), current approaches for retrieving research milestones require considerable time and commitment of subject matter experts. In this brief communication, we assess the utility of using computational approaches to identify research milestones, which may allow for broader engagement of scientific and non-scientific communities with a field's intellectual history.…”

Section: Introductionmentioning

confidence: 99%

Citation algorithms for identifying research milestones driving biomedical innovation

Comins

Leydesdorff

2017

Scientometrics

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Scientific activity plays a major role in innovation for biomedicine and healthcare. For instance, fundamental research on disease pathologies and mechanisms can generate potential targets for drug therapy. This co-evolution is punctuated by papers which provide new perspectives and open new domains. Despite the relationship between scientific discovery and biomedical advancement, identifying these research milestones that truly impact biomedical innovation can be difficult and is largely based solely on the opinions of subject matter experts. Here, we consider whether a new class of citation algorithms that identify seminal scientific works in a field, Reference Publication Year Spectroscopy (RPYS) and multi-RPYS, can identify the connections between innovation (e.g., therapeutic treatments) and the foundational research underlying them. Specifically, we assess whether the results of these analytic techniques converge with expert opinions on research milestones driving biomedical innovation in the treatment of Basal Cell Carcinoma. Our results show that these algorithms successfully identify the majority of milestone papers detailed by experts (Wong and Dlugosz 2014) - thereby validating the power of these algorithms to converge on independent opinions of seminal scientific works derived by subject matter experts. These advances offer an opportunity to identify scientific activities enabling innovation in biomedicine.

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Section: Introductionmentioning

confidence: 99%

Citation algorithms for identifying research milestones driving biomedical innovation

Comins

Leydesdorff

2017

Scientometrics

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“…There are few studies based on data integration of research projects, publications and patents, or any two of them. [18] introduces a method for analyzing publications, patents and research grants of microarrays as proxies for "triple-helix interfaces" between university, industry and government activities [19] presents the development of a new knowledge mapping system, called Nano Mapper, which integrates the analysis of nanotechnology patents and research grants into a Web-based platform [20] presents a longitudinal analysis of the global nanotechnology development as reflected in the United States Patent and Trade Office (USPTO) patents and Web of Science publications in nanoscale science and engineering (NSE) for the interval 1991-2012; and identifies the effect of basic research funded by NSF on both indicators.…”

Section: Resultsmentioning

confidence: 99%

Natural products against cancer: A comprehensive bibliometric study of the research projects, publications, patents and drugs

Tang

2014

J Can Res Ther

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China published the most publications and received the most patent applications, but drug discovery performance is no better than USA and Japan. Research on anti-neoplastic structures and compounds originated from Chinese traditional medicine (TCM), medicinal plants, herbal medicine and marine NPs are major research topics in the recent 10 years. There still exits translational gap between basic research and drug discovery. Translational research should be undertaken to strengthen the applicability of NPs.

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“…Recently, big data approaches have been proposed, given that the diffusion of online databases of scientific publications (e.g., Web of Science, Scopus, and PubMed) now allows the realisation of network analysis, bibliometric analysis, and scientometric analysis of huge datasets of academic literature as critical sources of information on biomedical work. The main outcomes of this kind of quantitative approach—automatically generated by the algorithms of dedicated bibliometric and scientometric software analysis—are sophisticated maps and cartographies visualising networks of co‐authorships or co‐citations, or the temporal formation of specific scientific communities (see Newman, ; Cambrosio, Keating, Mercier, et al, ; Mogoutov, Cambrosio, Keating, & Mustar, ; Navon & Shwed, ). Thus, this kind of graphic visualisation concerning the dynamic of knowledge production of a given biomedical field requires careful interpretation by social researchers, since they are not intrinsically evocative of the processual and collective dimensions on which TR relies.…”

Section: How To Study Translational Biomedicine: a Challenge For Socimentioning

confidence: 99%

Rethinking biomedicine in the age of translational research: Organisational, professional, and epistemic encounters

Crabu

2018

Sociology Compass

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In the most recent decade, translational research (TR) has played a pivotal role in the production and circulation of medical knowledge and technologies, thus redefining biomedicine's moral force, its cultural authority, and its status in society. As a major component of contemporary life sciences, TR—or more commonly, translational biomedicine—aims to transfer more quickly and effectively the findings of basic science into therapeutic interventions for patients by means of innovative organisational arrangements, research methodologies, protocols, and professional roles. This article brings together sociological research examining translational biomedicine from different perspectives to accomplish two goals. First, it offers a comprehensive introduction to the social science debate concerning the growing adoption of a TR framework in biomedicine, with a special focus on the organisational, professional, and epistemological issues. Second, the article has an operational purpose to raise questions about the main methodological repercussions for social scientists facing the investigation of TR as a complex and multi‐sited phenomenon that challenges traditional qualitative/quantitative research approaches.

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Biomedical innovation at the laboratory, clinical and commercial interface: A new method for mapping research projects, publications and patents in the field of microarrays

Cited by 21 publications

References 22 publications

Citation algorithms for identifying research milestones driving biomedical innovation

Citation algorithms for identifying research milestones driving biomedical innovation

Natural products against cancer: A comprehensive bibliometric study of the research projects, publications, patents and drugs

Rethinking biomedicine in the age of translational research: Organisational, professional, and epistemic encounters

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