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Swanson, D.R.: Searching natural language by computer (1960) 0.01

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Source: Science. 132(1960), S.1099-1104

Bookstein, A.; Swanson, D.R.: Probabilistic models for automatic indexing (1974) 0.01

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Source: Journal of the American Society for Information Science. 25(1974), S.312-318

Swanson, D.R.: Two medical literatures that are logically but not bibliographically connected (1987) 0.01

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Source: Journal of the American Society for Information Science. 38(1987), S.228-233

Swanson, D.R.: ¬A second example of mutually isolated medical literatures related by implicit, unnoticed connections (1989) 0.01

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Source: Journal of the American Society for Information Science. 40(1989), S.432-435

Swanson, D.R.: Online search for logically-related noninteractive medical literatures : a systematic trial-and-error strategy (1989) 0.01

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Source: Journal of the American Society for Information Science. 40(1989), S.356-358

Swanson, D.R.: Historical note: information retrieval and the future of an illusion (1988) 0.01

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Source: Journal of the American Society for Information Science. 39(1988), S.92-98

Swanson, D.R.; Smalheiser, N.R.; Bookstein, A.: Information discovery from complementary literatures : categorizing viruses as potential weapons (2001) 0.01
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Abstract

Using novel informatics techniques to process the Output of Medline searches, we have generated a list of viruses that may have the potential for development as weapons. Our findings are intended as a guide to the virus literature to support further studies that might then lead to appropriate defense and public health measures. This article stresses methods that are more generally relevant to information science. Initial Medline searches identified two kinds of virus literaturesthe first concerning the genetic aspects of virulence, and the second concerning the transmission of viral diseases. Both literatures taken together are of central importance in identifying research relevant to the development of biological weapons. Yet, the two literatures had very few articles in common. We downloaded the Medline records for each of the two literatures and used a computer to extract all virus terms common to both. The fact that the resulting virus list includes most of an earlier independently published list of viruses considered by military experts to have the highest threat as potential biological weapons served as a test of the method; the test outcome showed a high degree of statistical significance, thus supporting an inference that the new viruses an the list share certain important characteristics with viruses of known biological

Source

Journal of the American Society for Information Science and technology. 52(2001) no.10, S.797-812

Bookstein, A.; Swanson, D.R.: ¬A decision theoretic foundation for indexing (1975) 0.01

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Source: Journal of the American Society for Information Science. 26(1975), S.45-50

Torvik, V.I.; Weeber, M.; Swanson, D.R.; Smalheiser, N.R.: ¬A probabilistic similarity metric for medline mecords : a model for author name disambiguation (2005) 0.01

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Source: Journal of the American Society for Information Science and Technology. 56(2005) no.2, S.140-158

Swanson, D.R.; Smalheiser, N.R.; Torvik, V.I.: Ranking indirect connections in literature-based discovery : the role of Medical Subject Headings (2006) 0.00

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Source: Journal of the American Society for Information Science and Technology. 57(2006) no.11, S.1427-1439

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