Harnessing huge data from pregnancy natural experiments

IF 11.7 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Science Advances Pub Date : 2025-03-26 DOI:10.1126/sciadv.adw6818

Michelle Oyen

引用次数: 0

Abstract

Vast, cross-sectional, and open datasets are critical for understanding complex pregnancy physiology and women’s health more generally while serving as a resource for model development.

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来源期刊

Science Advances 综合性期刊-综合性期刊

CiteScore

21.40

自引率

1.50%

发文量

1937

审稿时长

29 weeks

期刊介绍： Science Advances, an open-access journal by AAAS, publishes impactful research in diverse scientific areas. It aims for fair, fast, and expert peer review, providing freely accessible research to readers. Led by distinguished scientists, the journal supports AAAS's mission by extending Science magazine's capacity to identify and promote significant advances. Evolving digital publishing technologies play a crucial role in advancing AAAS's global mission for science communication and benefitting humankind.