Developmental scientists have adopted numerous biomarkers in their research to better understand the biological underpinnings of development, environmental exposures, and variation in long-term health. Yet, adoption patterns merit investigation given the substantial resources used to collect, analyse, and train to use biomarkers in research with infants and children. We document trends in use of 90 biomarkers between 2000 and 2020 from approximately 430,000 publications indexed by the Web of Science. We provide a tool for researchers to examine each of these biomarkers individually using a data-driven approach to estimate the biomarker growth trajectory based on yearly publication number, publication growth rate, number of author affiliations, National Institutes of Health dedicated funding resources, journal impact factor, and years since the first publication. Results indicate that most biomarkers fit a “learning curve” trajectory (i.e., experience rapid growth followed by a plateau), though a small subset decline in use over time.

中文翻译：

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发展科学中的生物标志物采用：20 年来 90 种生物标志物趋势的数据驱动建模

发育科学家在他们的研究中采用了许多生物标志物，以更好地了解发育、环境暴露和长期健康变化的生物学基础。然而，鉴于用于收集、分析和训练在婴儿和儿童研究中使用生物标志物的大量资源，采用模式值得调查。我们从被 Web of Science 索引的大约 430,000 份出版物中记录了 2000 年至 2020 年间 90 种生物标志物的使用趋势。我们为研究人员提供了一种工具，可以使用数据驱动的方法单独检查这些生物标志物中的每一个，以根据年度出版物数量、出版物增长率、作者所属机构数量、美国国立卫生研究院的专用资金资源、期刊影响来估计生物标志物的增长轨迹因素，和第一次出版以来的几年。结果表明，大多数生物标志物都符合“学习曲线”轨迹（即，经历快速增长，然后是平稳期），尽管随着时间的推移，一小部分生物标志物的使用下降。