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Abstract Sifter: a comprehensive front-end system to PubMed.

Nancy Baker1, Thomas Knudsen2, Antony Williams2

  • 1Leidos, Research Triangle Park, NC, USA.

F1000Research
|February 27, 2018
PubMed
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The Abstract Sifter is a Microsoft Excel tool that improves PubMed searches. It helps researchers efficiently find, sort, and track relevant scientific articles using a novel relevance ranking system.

Keywords:
Microsoft ExcelPubMedVisual Basic for Applicationsbiologychemistrydocument retrievaltoxicology

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Area of Science:

  • Biomedical Informatics
  • Scientific Literature Management

Background:

  • PubMed is a primary resource for biomedical literature searches.
  • Existing search functionalities may not efficiently triage large volumes of results.
  • Researchers need tools to effectively manage and prioritize articles.

Purpose of the Study:

  • To introduce the Abstract Sifter, a Microsoft Excel-based application.
  • To enhance PubMed search capabilities for researchers.
  • To facilitate efficient article discovery, triage, and tracking.

Main Methods:

  • Developed a Microsoft Excel macro-enabled workbook application.
  • Implemented an innovative "sifter" functionality for relevance ranking.
  • Enabled visualization of the literature landscape for specific entities (e.g., chemicals, genes).

Main Results:

  • The Abstract Sifter enhances PubMed search effectiveness.
  • The tool provides rapid identification of relevant articles through its sifting functionality.
  • Researchers gain a clearer view of the literature landscape concerning specific entities.

Conclusions:

  • The Abstract Sifter is a valuable tool for researchers managing biomedical literature.
  • It streamlines the process of searching, triaging, and tracking articles.
  • The application offers an efficient method for literature landscape analysis.