Macromolecule Mass Spectrometry: Citation Mining of User Documents

R. N. Kostoff, C. D. Bedford, J. Antonio del Rio, H. D. Cortes, and G. Karypis
Journal of the American Society for Mass Spectrometry, Vol. 15, No. 3, pp. 281 - 287, 2004
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Identifying research users, applications, and impact is important for research performers,
managers, evaluators, and sponsors. Identification of the user audience and the research
impact is complex and time consuming due to the many indirect pathways through which
fundamental research can impact applications. This paper identified the literature pathways
through which two highly-cited papers of 2002 Chemistry Nobel Laureates Fenn and Tanaka
impacted research, technology development, and applications. Citation Mining, an integration
of citation bibliometrics and text mining, was applied to the 1600 first generation Science
Citation Index (SCI) citing papers to Fenn’s 1989 Science paper on Electrospray Ionization for
Mass Spectrometry, and to the 400 first generation SCI citing papers to Tanaka’s 1988 Rapid
Communications in Mass Spectrometry paper on Laser Ionization Time-of-Flight Mass
Spectrometry. Bibliometrics was performed on the citing papers to profile the user characteristics.
Text mining was performed on the citing papers to identify the technical areas impacted
by the research, and the relationships among these technical areas.
Research topics: Clustering | Data mining | Information retrieval | Text mining