This study aims to reveal what kind of topics emerged in the biomedical domain by retrospectively analyzing newly added MeSH (Medical Subject Headings) terms from 2001 to 2010 and how they have been used for indexing since their inclusion in the thesaurus. The goal is to investigate if the future trend of a new topic depends on what kind of topic it is without relying on external indicators such as growth, citation patterns, or word co-occurrences. This topic perspective complements the traditional publication perspective in studying emerging topics. Results show that topic characteristics, including topic category, clinical significance, and if a topic has any narrower terms at the time of inclusion, influence future popularity of a new MeSH. Four emergence trend patterns are identified, including emerged and sustained, emerged not sustained, emerged and fluctuated, and not yet emerged. Predictive models using topic characteristics for emerging topic prediction show promise. This suggests that the characteristics of topics and domain should be considered when predicting future emergence of research topics. This study bridges a gap in emerging topic prediction by offering a topic perspective and advocates for considering topic and domain characteristics as well as economic, medical, and environmental impact when studying emerging topics in the biomedical domain.
翻译:这项研究的目的是通过追溯分析2001年至2010年新增加的MesH(医学主题标题)术语,揭示生物医学领域出现何种专题,以及自纳入术语汇编以来,这些专题如何被用于编制索引,目的是调查新专题的未来趋势是否取决于专题的未来趋势,而不依赖诸如增长、引证模式或“共发”字词等外部指标,从而了解生物医学领域出现了何种专题。这个专题视角补充了研究新专题时的传统出版视角。结果显示,专题特征,包括专题类别、临床意义,以及一个专题在纳入时是否影响较窄的术语,影响新的MesH的未来受欢迎程度。确定了四种新出现的趋势模式,包括出现和持续出现、出现、不持续、出现和波动,尚未出现。在研究生物医学领域新兴专题时,利用专题特点的预测模型显示了前景。这表明,在预测未来出现研究专题时,应当考虑专题和领域的特点。这项研究通过提供专题视角和倡导者来审议专题和域特性以及经济、医学和环境影响,弥补新出现专题预测中的空白。