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Mapping Knowledge Domains (2004) / Chapter Skim
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Mapping knowledge domains: Characterizing PNAS
Pages 10-17

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From page 10...
... Mapping knowledge domains, then, takes as its input such seemingly diverse subjects as network analysis (e.g., web, social networks, scale-free networks, and metabolic pathways) , linguistics, concept or topic extraction, citation analysis, and science and technology indicators, in addition to visualization techniques.
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From page 11...
... , coauthorship studies aim to answer specific questions about collaboration groups (11~. Author cocitation analysis is particularly suited to investigation of intellectual structure and history, and is often used with factor analysis and multidimensional scaling (12~.
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From page 12...
... For example, mean citation counts for the PNAS papers range between the 64th and 70th percentile from 1982 to 1999. Related data are shown in Fig.
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From page 13...
... Five different grant amount ranges were identified: <$31,600, $31,600 to $100,000, $100,000 to $316,000, $316,000 to $1,000,000, and >$1,000,000. Mean citation percentiles and grant amounts were calculated for the grant-paper pairs in each of the five grant ranges.
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From page 14...
... If lower impact journals were included in the study, the percentile ranking for most PNAS papers would be shifted much higher. These observations are specific to National Institute on Aging funding and PNAS papers, and cannot be directly applied to other funding sources or journals.
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From page 15...
... Apoptosis Ubiquitins/* metabolism Models, molecular Neoplasm transplantation Adenomatous polyposis cold protein Tumor cells, cultured Gene expression profiling DNA restriction enzymes DNA restriction enzymes Nucleic acid hybridization Lipoproteins, LDL/*
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From page 16...
... The central position of the core clusters indicates their centrality to the focus of PNAS over the 20-year period. This core work had much to do with molecular cloning, hybridization, sequencing, and other key techniques during the first 10 years, shifting into more applied work on growth factors, cancers, and gene expression in the middle years (see Fig.
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From page 17...
... The types of maps and analysis shown here can be applied at many levels: single journal, single discipline, groups of disciplines, etc., given appropriate data. Accurate funding data, and especially, accurate records of the relationship between individual grants and papers is needed.
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Key Terms

  • cell biology
  • knowledge domains
  • papers funded
  • restriction enzymes
  • citation percentiles

  • mean citation
  • latent semantic
  • grant amount
  • semantic analysis
  • dna restriction

  • social network
  • analysis techniques
  • mapping techniques
  • network analysis
  • nucleic acid

  • vector space
  • mapping knowledge
  • funding sources
  • data mining
  • strategic nature

  • mean percentiles
  • multidimensional scaling
  • economic activity
  • output measures
  • acid hybridization

  • funding ranges
  • pnas data
  • pnas papers
  • technology indicators
  • factor analysis


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