Metrics associated with NIH funding: a high-level view
Metrics associated with NIH funding: a high-level view
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DOI：
10.1136/amiajnl-2011-000213
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发表时间：
2011-07-01
影响因子：
6.4
通讯作者：
Jordan, Paul
中科院分区：
文献类型：
--
作者：
Boyack, Kevin W.;Jordan, Paul
目的介绍美国国立卫生研究院（NIH）赠款项目与论文关联数据的可用性，并对与这些赠款相关的出版产出和影响进行高层次分析。设计论文使用PubMed中的资助确认字符串与其确认的赠款进行关联，使用NIH科学出版信息检索&评价体系。来自PubMed的其他数据和来自Scopus的引文计数被添加到关联数据中。结果NIH研究机构之间的协同作用随着时间的推移而增加; 29%的现有文章承认来自多个研究机构的赠款。新赠款的出版时间间隔中位数为3年。每个补助金每年贡献约1.7篇文章，平均所有补助金类型。承认美国公共卫生服务（PHS，其中包括NIH）资助的文章被引用的次数是美国作者承认没有资金来源的文章的两倍。文章承认小灵通的资金和非美国政府的资金来源，平均40%以上的引用，那些承认小灵通资金sourcesalone.Conclusion美国小灵通是有效的资助研究具有高于平均水平的影响。这些数据还有待于进一步和更详细的分析。
Objective To introduce the availability of grant-to-article linkage data associated with National Institutes of Health (NIH) grants and to perform a high-level analysis of the publication outputs and impacts associated with those grants.Design Articles were linked to the grants they acknowledge using the grant acknowledgment strings in PubMed using a parsing and matching process as embodied in the NIH Scientific Publication Information Retrieval & Evaluation System system. Additional data from PubMed and citation counts from Scopus were added to the linkage data. The data comprise 2 572 576 records from 1980 to 2009.Results The data show that synergies between NIH institutes are increasing over time; 29% of current articles acknowledge grants from multiple institutes. The median time lag to publication for a new grant is 3 years. Each grant contributes to approximately 1.7 articles per year, averaged over all grant types. Articles acknowledging US Public Health Service (PHS, which includes NIH) funding are cited twice as much as US-authored articles acknowledging no funding source. Articles acknowledging both PHS funding and a non-US government funding source receive on average 40% more citations that those acknowledging PHS funding sources alone.Conclusion The US PHS is effective at funding research with a higher-than-average impact. The data are amenable to further and much more detailed analysis.