发现蓬勃发展的生物实体及其与基金的关系

Fang Tan , Tongyang Zhang , Siting Yang , Xiaoyan Wu , Jian Xu
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引用次数: 3

摘要

随着美国国立卫生研究院(NIH)预算压力的不断增加,减少浪费和提高研究经费分配效率是一个重大挑战。为了应对这一挑战,本文探索了生物医学领域的研究热点和学科发展趋势,并探讨了这些因素与政府资助的关系,从而通过实体计量分析揭示了学术界感兴趣的生物医学热点和美国联邦政府资助的演变规律。考虑到生物医学文献的快速增长为知识发现提供了大量的信息资源,从1988-2017年PubMed和nih资助项目的文章中提取实体作为实验数据。它们被分为四类:物种、疾病、基因和药物。随后,对四个领域的实体轨迹进行对比分析,包括计算疾病实体的发生频率,以探索高频实体的频率变化趋势和研究经费分配情况。最后,从两个方面分别进行了演化分析:研究知名度与资助金额的关系;研究知名度与资助项目数量的关系。结果表明,基因和疾病实体的研究正处于快速发展阶段。高患病率和高死亡率疾病以及与遗传因素有关的疾病将是未来研究趋势的重点。NIH拨款的分布表现出明显的长尾效应,可以影响研究课题热度的总体趋势。我们还发现,生物实体的研究受欢迎程度与资助金额和数量之间分别存在很强的线性相关关系。但是,赞助金额和数量对实体研究人气的影响正在减少。上述结果表明实体指标在资助研究方面具有广泛的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discovering Booming Bio-entities and Their Relationship with Funds

With the increasing pressure on the National Institutes of Health (NIH) budget nowadays, it is such a major challenge to cut waste and improve efficiency in the research funding allocation. To meet this challenge, this paper explores research hotspots and disciplinary trends of the biomedical area, and discusses the relationship between these factors and the government funding, thereby uncovering biomedical hotspots of interest to academia and the evolution law of the U.S. federal government funding through an entitymetrics analysis. Considering that the rapid proliferation of biomedical literature provides large amounts of information resources for knowledge discovery, entities extracted from articles in PubMed and NIH-funded projects during 1988–2017 are taken as experimental data. They are divided into four categories: species, diseases, genes, and drugs. Subsequently, a comparative analysis of entity trajectories in the four domains is performed, which includes occurrence frequency calculations of disease entities to explore frequency variation trends in high-frequency entities and the situation of the distribution of research funds. Finally, we conduct an evolutionary analysis of two sides, respectively: the relationship between research popularity and the amount of funding; the relationship between research popularity and the number of funded projects. The results suggest that research on gene and disease entities is at the stage of rapid development. Diseases with high prevalence rate and mortality and diseases associated with genetic factors will be the emphasis of research trends in the future. The distribution of NIH grant appears obvious long tail effect and can influence overall trends in the heat of research topics.. We also find that there is a strong linear correlation between the research popularity of bio-entities, and the amount and number of funding grants, respectively. However, the impact of the amount and number of grant funds on the entity research popularity is decreasing. The above results indicate the extensive applicability of entitymetrics in funding research.

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来源期刊
Data and information management
Data and information management Management Information Systems, Library and Information Sciences
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3.70
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