LI Yan-hong, 张迅, Huang Hailiang. Research on Frontier Identification of Medical Oncology Research Based on High Quality Literature. 2023. biomedRxiv.202312.00010
Research on Frontier Identification of Medical Oncology Research Based on High Quality Literature
Corresponding author: Huang Hailiang, hlhuang@mail.shufe.edu.cn
DOI: 10.12201/bmr.202312.00010
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Abstract: 〔Abstract〕 Purpose/Significance Taking 37,927 pieces of high-impact journal document references and highly cited document references from the WOS database which published in the period of 2012-2022 as the data sample to identify the field research frontiers, assist scientific researchers in effectively selecting and tracking key research topics, and assist scientific research management decision-makers in dynamically adjusting policy guidance. Method/Process Using BERTopic to extract topics, construct a multi-dimensional indicator research frontier recognition model, and identify different types of research frontiers in the field from multiple dimensions. Result/Conclusion Proved the effectiveness of the proposed model. Identified 9 hot research frontiers, 14 emerging research frontiers, 13 potential research frontiers, and 1 declining research frontiers in the field of oncology.
Key words: Research Frontiers; BERTopic; Multidimensional indicators; Oncology; High quality literatureSubmit time: 11 December 2023
Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity. -
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