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​​Framework of Singapore Infectious Diseases Research Landscape Mapping

  • Database
  • Search Strategy
    • Infectious Diseases Keywords and their relevant MeSH Terms
    • English Language
    • Timeframe: 2015 to present
    • Singapore
  • Records Screened
  • Full-text Articles assessed for eligibility
    • Full-text Articles Excluded After Discussion
      • - Not Representative of SG
      • - Abstract Only
      • - No Local Author
      • - No Affiliation
      • - Notes Only
      • - Not ID Related
      • - Other Reasons
  • Articles Included for Scientometric Analysis

The methodology used in scientometric analyses and visualization for grant and research output of local infectious diseases research studies is summarized in the flowchart above. We acknowledge the limitations of this approach in that some articles, grants and publications will not be captured. Please let us know if you are aware of any missing data and we can review those data for possible inclusion.

A literature search was conducted with a detailed search strategy containing infectious diseases keywords and their respective Medical Subject Headings (MeSH) using the thesaurus from the MEDLINE database in “title, abstract and keywords”. Only records, regardless of their document type (e.g., articles, reviews, case reports), published in English language during the predetermined timeframe and capturing an element of infectious diseases in Singapore were included. The extracted publications were saved as full records with cited references. Each article was further reviewed to be included for scientometric analyses upon agreement by team members. Data processing and cleaning were performed using multiple open source software: CiteSpace 5.5, Gephi 0.9.2, VOSviewer 1.6.13 and Tableau Public for analytical purposes.

The present research landscape mapping analyses the research grant distributions, co-authorship patterns, countries, institutions, keywords in the prioritised infectious diseases areas from the previous IDTF.

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