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Measuring the influence of clinical trials citations on several bibliometric indicators

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Abstract

The practice of publishing clinical trials in scientific journals is common, although not without its critics. This study aims to measure the effect of clinical trials citations on several bibliometric indicators: citations per document (CD); journal impact factor (JIF); relative h-index (RhI) and strike rate index (SRI). We select all the citable documents published in the NEJM, Lancet, JAMA, AIM and BMJ, for the period 2000-2004, and record the citations received by those papers from 2000 to 2005. Our results show that clinical trials have a CD significantly higher than those for conventional papers; JIF is lower when clinical trials are excluded, especially for NEJM, Lancet and JAMA. Finally, both RhI and SRI seem to be unaffected by clinical trials citations.

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References

  • Barendse, W. (2007), The strike rate index: a new index for journal quality based on journal size and the h-index of citations. Biomedical Digital Libraries, 4(3). http://www.bio-diglib.com/content/4/1/3.

  • Braun, T., Glänzel, W., Schubert, A. (2006), A Hirsch-type index for journals, Scientometrics, 69(1): 169–173.

    Article  Google Scholar 

  • Cami, J. (1997), Impactolatría: diagnóstico y tratamiento. Medicina Clínica, 109: 515–524.

    Google Scholar 

  • Campanario, J. M., Gonzalez, L. (2006), Journal self-citations that contribute to the impact factor: Documents labeled “editorial material” in journals covered by the Science Citation Index. Scientometrics, 69(2): 365–386.

    Article  Google Scholar 

  • Campanario, J. M., Gonzalez, L., Rodriguez, C. (2006), Structure of the impact factor of academic journals in the field of Education and Educational Psychology: Citations from editorial board members. Scientometrics, 69(1): 37–56.

    Article  Google Scholar 

  • Cohen, W. M., Nelson, R., Walsh, J. P. (2002), Links and impacts: the influence of public research on industrial R&D. Management Science, 48(1): 1–23.

    Article  Google Scholar 

  • DTI, BIA & Department of Health (2003), Bioscience 2015. Improving National Health, Increasing National Wealth. Retrieved January 15, 2007 from: http://www.bioindustry.org/bigtreport/index2.html

  • Fassoulaki, A., Paraskeva, A., Papilas, K., Karabinis, G. (2000), Self-citations in six anaesthesia journals and their significance in determining the impact factor. British Journal of Anaesthesia, 84(2): 266–269.

    Google Scholar 

  • Hirsch, J.E. (2005), An index to quantify an individual’s scientific research output. Proceedings’ of the National Academy of Sciences of the United States of America, 102: 16569–16572, http://arxiv.org/abs/physiscs/0508113.

    Article  Google Scholar 

  • House of Commons Health Committee, The Influence of the Pharmaceutical industry. Retrieved February 15, 2007 from: http://www.publications.parliament.uk/pa/cm200405/cmselect/cmhealth/42/4202.htm, 2005.

  • Jellinek, N. J., Desousa, R. A., Bernhard, J. D. (2004), The clinical influence of the JAAD. Journal of the American Academy of Dermatology, 50: 470–474.

    Article  Google Scholar 

  • Koenig, M. E. D. (1997), A bibliometric analysis of pharmaceutical research. Research Policy, 12: 15–36.

    Article  Google Scholar 

  • Kostoff, R. N. (2007), The difference between highly and poorly cited medical articles in the journal Lancet. Scientometrics, 72(3): 513–520.

    Article  Google Scholar 

  • Kulkarni, A. V., Busse, J. V., Shams, I. (2007), Characteristics associated with citation rate of the medical literature. PLoS ONE, 2(5): e403.

    Article  Google Scholar 

  • Lewison, G. (2002), From biomedical research to health improvement. Scientometrics, 54(2): 179–192.

    Article  Google Scholar 

  • Lichtenberg, F. R., Pharmaceutical innovation, mortality reduction, and economic growth. In: K. M. Murphy, R. H. Topel (Eds), Measuring the Gains from Medical Research: an Economic Approach (pp. 74–109). Chicago: The University of Chicago Press, 2003.

    Google Scholar 

  • Moed, H. F., VAN Leeuwen, T. N. (1994), Improving the accuracy of Institute for Scientific Information’s Journal Impact Factor. Journal of the American Society for Information Science, 46(6): 461–467.

    Article  Google Scholar 

  • OECD, The measurement of scientific and technological activities. Proposed standard practice for surveys on research and experimental development. Paris: OECD, 2002.

    Google Scholar 

  • Rochon, P. A., Gurwitz, J. H., Simms, R. W., et al. (1994). A study of manufactured-supported trials of nonsteroidal anti-inflammatory drugs in the treatment of Arthritis. Archives of Internal Medicine, 154: 157–163.

    Article  Google Scholar 

  • Rousseau, R. (2006), A case study: evolution of JASIS’ h-index (in Chinese). Science Focus, 1(1): 16–17. English version: E-LIS: ID-code 5430.

    Google Scholar 

  • Seglen, P.O. (1997), Why the impact factor of journals should not be used for evaluating research. British Medical Journal, 314: 497.

    Google Scholar 

  • Smith, R., Roberts, I. (2006), Patient safety requires a new way to publish clinical trials. Public Library of Science Clinical Trials, e6: 1–3.

    Google Scholar 

  • Smith, R. (2003), Medical journals and pharmaceutical companies: uneasy bedfellows. British Medical Journal, 326: 1202–1205.

    Article  Google Scholar 

  • Smith, R. (2005a), Medical journals are an extension of the marketing arm of pharmaceutical companies. Public Library of Science Medicine, 2(5): e138.

    Google Scholar 

  • Smith, R. (2005b), Curbing the influence of the drug industry: a British view. Public Library of Science Medicine, 2(9): e241.

    Google Scholar 

  • Smith, R. (2006), The trouble with medical journals. Journal of the Royal Society of Medicine, 99: 115–119.

    Article  Google Scholar 

  • Suarez-Almanzor, M. E., Belseck, E., Homik, J., Dorgan, M., Ramos-Remus, C. (2000), Identifying clinical trials in the medical literature with electronic databases: Medline alone is not enough. Controlled Clinical Trials, 21: 476–487.

    Article  Google Scholar 

  • Yu, G., Wang, L. (2007), The self-cited rate of scientific journals and the manipulation of their impact factors. Scientometrics, 73(3): 321–330.

    Article  Google Scholar 

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Correspondence to Antonio García Romero.

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Romero, A.G., Cortés, J.N., Escudero, C. et al. Measuring the influence of clinical trials citations on several bibliometric indicators. Scientometrics 80, 747–760 (2009). https://doi.org/10.1007/s11192-008-2108-6

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