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本文引用的文献

1
Using Longitudinal Data on Career Outcomes to Promote Improvements and Diversity in Graduate Education.利用职业成果的纵向数据促进研究生教育的改进与多元化。
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Tracking Career Outcomes for Postdoctoral Scholars: A Call to Action.追踪博士后学者的职业成果：行动呼吁。
PLoS Biol. 2016 May 6;14(5):e1002458. doi: 10.1371/journal.pbio.1002458. eCollection 2016 May.
3
Labor and skills gap analysis of the biomedical research workforce.生物医学研究劳动力的劳动力与技能差距分析。
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Rescuing US biomedical research from its systemic flaws.拯救美国生物医学研究的系统性缺陷。
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Foreign-born scientists: mobility patterns for 16 countries.出生在国外的科学家：16个国家的流动模式。
Nat Biotechnol. 2012 Dec;30(12):1250-3. doi: 10.1038/nbt.2449.
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Education: The PhD factory.教育：博士制造工厂。
Nature. 2011 Apr 21;472(7343):276-9. doi: 10.1038/472276a.

利用新的职业成果分类法来可视化详细的博士后就业趋势。

Visualizing detailed postdoctoral employment trends using a new career outcome taxonomy.

机构信息

Career Development, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA.

Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

出版信息

Nat Biotechnol. 2018 Feb;36(2):197-202. doi: 10.1038/nbt.4059. Epub 2018 Jan 15.

DOI:10.1038/nbt.4059
PMID:29334368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5872819/
Abstract

A standard taxonomy and visualization methods can provide postdoctoral scholars with tools to critically evaluate their career prospects.

摘要

一个标准的分类法和可视化方法可以为博士后学者提供工具，帮助他们批判性地评估自己的职业前景。