Biomarker adoption in developmental science: A data-driven modelling of trends from 90 biomarkers across 20 years.
Biomarker adoption in developmental science: A data-driven modelling of trends from 90 biomarkers across 20 years.
复制标题
发育科学中生物标志物的采用：对 20 年来 90 种生物标志物的趋势进行数据驱动建模。
DOI：
10.1002/icd.2366
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发表时间：
2024
影响因子：
2.2
通讯作者：
Mitchell,Colter
中科院分区：
文献类型：
--
作者：
Qian,Weiqiang;Zhang,Chao;Piersiak,HannahA;Humphreys,KathrynL;Mitchell,Colter
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，鉴于在婴儿和儿童研究中用于收集、分析和培训使用生物标志物的大量资源，采用模式值得调查。我们从Web of Science索引的大约43万份出版物中记录了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，使用数据驱动的方法来评估生物标志物的增长轨迹，这些生物标志物的增长轨迹基于年发表数量、发表增长率、作者数量、美国国立卫生研究院专用资金资源、期刊影响因子和首次发表以来的年份。结果表明，大多数生物标志物符合“学习曲线”轨迹（即经历快速增长之后的平台期），尽管一小部分生物标志物的使用随着时间的推移而下降。
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.