Beyond Hair Loss: Exploring the Evolution of Androgenetic Alopecia Research Based on Text Mining and Bibliometrics

    July 2024 in “ Journal of Education For Sustainable Innovation ”
    Sayan Roy, Hriddhiman Basu
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    TLDR Visualizing data helps guide future androgenetic alopecia research and policies.
    The study "Beyond Hair Loss: Exploring the Evolution of Androgenetic Alopecia Research" uses text mining and bibliometric analysis to examine the evolution of research on androgenetic alopecia over a ten-year period. By analyzing word dynamics, co-occurring phrases, and keyword frequency, the research identifies hidden linkages and patterns in the literature. The findings highlight the importance of data visualization tools to effectively communicate results to a broad audience, including policymakers and researchers. The study's insights can guide future research directions, prioritize areas needing further investigation, and inform policy decisions related to androgenetic alopecia.
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