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

    Metadata Updated: May 2, 2021

    The Abstract Sifter is a Microsoft Excel based application that enhances existing search capabilities of PubMed. The Abstract Sifter assists researchers to search effectively, triage results, and keep track of articles of interest. The tool implements an innovative “sifter” functionality for relevance ranking, giving the researcher a way to find articles of interest quickly. The tool also gives researchers a view of the literature landscape for a set of entities such as chemicals or genes. The Abstract Sifter is available as a Microsoft Excel macro-enabled workbook application.

    This dataset is associated with the following publication: Baker, N., T. Knudsen, and A. Williams. Abstract Sifter: a comprehensive front-end system to PubMed (F1000 Research). F1000 Research. Faculty of 1000, London, UK, 6: 1-10, (2017).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.12688/f1000research.12865.1

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date May 2, 2021

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date May 2, 2021
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1504291
    Data Last Modified 2017-12-21
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id cf4c26a6-6834-44ca-a70d-04c26b2e24b5
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:095
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.12688/f1000research.12865.1
    Source Datajson Identifier True
    Source Hash af8c1fb1e68c0493e0d72b6c91060aa3c0b40c38
    Source Schema Version 1.1

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