Abstract
Text mining was used to extract technical intelligence from the open source global nanotechnology and nanoscience research literature (SCI/SSCI databases). Identified were: (1) the nanotechnology/nanoscience research literature infrastructure (prolific authors, key journals/institutions/countries, most cited authors/journals/documents); (2) the technical structure (pervasive technical thrusts and their inter-relationships); (3) nanotechnology instruments and their relationships; (4) potential nanotechnology applications, (5) potential health impacts and applications; and (6) seminal nanotechnology literature. Our results are summarized in this paper.
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