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Mapping Knowledge Domains (2004) / Chapter Skim
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Mapping topics and topic bursts in PNAS
Pages 105-108

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
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From page 105...
... Benefits of KDVs include reducing visual search time, revealing hidden relations, displaying data sets from several perspectives simultaneously, facilitating hypothesis formulation, serving as effective means of communication, and prompting users to think in new ways about document data. Today, KDVs are typically generated semiautomatically from rather small static data sets and for a specific knowledge domain and information need.
From page 106...
... In the top 10% of the most highly cited PNAS publications, there were 1,027 unique words, of which 991 had at least one burst, and 34 of which had two bursts. Exactly two words, "comparative study" and "dna primers," bursted on three occasions but are not among the highly frequent words.
From page 107...
... Toward the early 1990s, in conjunction with the start of the Human Genome Project, the research paradigm shifted toward sequence data studies. During this time period, molecular sequence data, amino acid sequences associated with the genome project, rose to prominence.
From page 108...
... The resulting visualizations were examined and interpreted by a number of domain experts, demonstrating their readability and practical value for the identification of topics, major trends, and research frontiers as well as hinting at their value as a knowledge management tool for researchers, companies, funding agencies, and society. We thank Anne Prieto, Don G


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