Automated Research Impact Assessment: a new bibliometrics approach

被引:20
|
作者
Drew, Christina H. [1 ]
Pettibone, Kristianna G. [1 ]
Finch, Fallis Owen, III [2 ]
Giles, Douglas [2 ]
Jordan, Paul [3 ]
机构
[1] NIEHS, Program Anal Branch, POB 12233, Res Triangle Pk, NC 27709 USA
[2] Open Intelligence Inc, Raleigh, NC USA
[3] NIH, Off Extramural Res, Off Data Anal Tools & Syst, Bldg 10, Bethesda, MD 20892 USA
关键词
Bibliometrics; Automated impact analysis; Research evaluation; Science of science management; CITATION; METRICS; HEALTH; CHALLENGES;
D O I
10.1007/s11192-015-1828-7
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
As federal programs are held more accountable for their research investments, The National Institute of Environmental Health Sciences (NIEHS) has developed a new method to quantify the impact of our funded research on the scientific and broader communities. In this article we review traditional bibliometric analyses, address challenges associated with them, and describe a new bibliometric analysis method, the Automated Research Impact Assessment (ARIA). ARIA taps into a resource that has only rarely been used for bibliometric analyses: references cited in "important" research artifacts, such as policies, regulations, clinical guidelines, and expert panel reports. The approach includes new statistics that science managers can use to benchmark contributions to research by funding source. This new method provides the ability to conduct automated impact analyses of federal research that can be incorporated in program evaluations. We apply this method to several case studies to examine the impact of NIEHS funded research.
引用
收藏
页码:987 / 1005
页数:19
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