Automated Research Impact Assessment: a new bibliometrics approach

Christina H. Drew (), Kristianna G. Pettibone, Fallis Owen Finch, Douglas Giles and Paul Jordan
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Christina H. Drew: National Institute of Environmental Health Sciences
Kristianna G. Pettibone: National Institute of Environmental Health Sciences
Fallis Owen Finch: Open Intelligence, Inc.
Douglas Giles: Open Intelligence, Inc.
Paul Jordan: National Institutes of Health

Scientometrics, 2016, vol. 106, issue 3, No 6, 987-1005

Abstract: Abstract 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.

Keywords: Bibliometrics; Automated impact analysis; Research evaluation; Science of science management (search for similar items in EconPapers)
JEL-codes: I2 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s11192-015-1828-7

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