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Suminski, RR., Hendrix, D., May, EL., Wasserman, AJ., Guillory, JV. (2012) 'Bibliometric measures and National Institutes of Health funding at colleges of osteopathic medicine, 2006-2010 ', J Am Osteopath Assoc. 2012 Nov;112(11):716-24.

J Am Osteopath Assoc. 2012 Nov;112(11):716-24.

Bibliometric measures and National Institutes of Health funding at colleges of osteopathic medicine, 2006-2010

Richard R Suminski, Dean Hendrix, Linda E May, Jason A Wasserman, V James Guillory

Abstract:



Context: During the past 20 years, colleges of osteopathic medicine (COMs) have made several advances in research that have substantially improved the osteopathic medical profession and the health of the US population. Furthering the understanding of research at COMs, particularly the factors influencing the attainment of extramural funds, is highly warranted and coincides with the missions of most COMs and national osteopathic organizations.

Objectives: To describe bibliometric measures (numbers of peer-reviewed publications [ie, published articles] and citations of these publications, impact indices) at COMs from 2006 through 2010 and to examine statistical associations between these measures and the amount of National Institutes of Health (NIH) research funds awarded to COMs in 2006 and 2010.

Methods: A customized, systematic search of the Web of Science database was used to obtain bibliometric measures for 28 COMs. For the analyses, the bibliometric measures were summed or averaged over a 5-year period (2006 through 2010). The NIH database was used to obtain the amount of NIH funds for research grants and contracts received by the 28 COMs. Bivariate and multivariate statistical procedures were used to explore relationships between bibliometric measures and NIH funding amounts.

Results: The COMs with 2010 NIH funding, compared with COMs without NIH funding, had greater numbers of publications and citations and higher yearly average impact indices. Funding from the NIH in 2006 and 2010 was positively and significantly correlated with the numbers of publications, citations, and citations per publication and impact indices. The regression analysis indicated that 63.2% and 38.5% of the total variance in 2010 NIH funding explained by the model (adjusted R(2)=0.74) was accounted for by 2006 NIH funding and the combined bibliometric (ie, publications plus citations), respectively.

Conclusion: Greater scholarly output leads to the procurement of more NIH funds for research at COMs.

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