Prioritizing journals relevant to a topic for addressing clinicians' information needs

Siddhartha R. Jonnalagadda, Soheil Moosavinasab, Dingcheng Li, Martin D. Abel, Christopher G. Chute, Hongfang Liu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations

    Abstract

    Objective: Point of care access to knowledge from full text journal articles supports decision making and decreases medical errors. However, it is an overwhelming task to obtain full text for all journals and the quality of information for a specific topic such as Congestive Heart Failure (CHF) varies across the journals. In this paper, we develop a method to automatically rate journals for a given clinical topic to enable filtering journals or ranking the articles based on source journal. Materials and Methods: We surveyed 169 cardiologists chosen across the US that practice medicine and publish on the topic of CHF. They provided subjective opinion on how valuable the information provided in 60 journals (chosen by Mayo Clinic cardiologists) is for their clinical decision-making. Results: We identified the top CHF journals chosen by cardiologists and the objective metrics that correlate with their scores. Our best Multiple Linear Regression model has a correlation of 0.880 based on five-fold cross-validation. Discussion: We demonstrated that general journal metrics such as impact factor, h-index and number of articles per year provide better results when used in combination with topic-specific metrics such as number of abstracts indexed with the corresponding MeSH® terms. Conclusion: We obtained a journal priority score formula based on different journal metrics to automatically rate any journal in relation to its perceived importance in CHF. Our study shows that using this formula might yield a reliable list of prioritized journals even across other clinical topics such as Multiple Sclerosis.

    Original languageEnglish (US)
    Title of host publicationProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
    Pages5-6
    Number of pages2
    DOIs
    StatePublished - 2013
    Event2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 - Shanghai, China
    Duration: Dec 18 2013Dec 21 2013

    Publication series

    NameProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013

    Other

    Other2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
    CountryChina
    CityShanghai
    Period12/18/1312/21/13

    Keywords

    • clinical decision support
    • full-text processing
    • healthcare information systems
    • information needs
    • medical journals

    ASJC Scopus subject areas

    • Biomedical Engineering

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  • Cite this

    Jonnalagadda, S. R., Moosavinasab, S., Li, D., Abel, M. D., Chute, C. G., & Liu, H. (2013). Prioritizing journals relevant to a topic for addressing clinicians' information needs. In Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 (pp. 5-6). [6732590] (Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013). https://doi.org/10.1109/BIBM.2013.6732590