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The use of citation speed to understand the effects of a multi-institutional science center

Abstract

The extent to which an article attracts citations has long been of interest. However, recent research has emphasized not just the receipt but also the pacing of citation. Citation speed has been shown to be affected by journal prestige and self-citation but also public funding of research. Amidst these viewpoints, this paper explores the speed of article citation of a multi-institutional, multi-disciplinary publicly funded research center relative to that of a comparison group of articles. Results indicate that articles by authors affiliated with the center are significantly more likely to have early-cited papers within the year of publication than the random comparison group, with controls by field also being significant. Implications for the ability of a publicly funded center to attract attention toward articles are discussed.

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Notes

  1. http://admin-apps.webofknowledge.com/JCR/help/h_immedindex.htm, accessed on March 7, 2013.

References

  • Aksnes, D. (2003). A macro study of self-citation. Scientometrics, 56(2), 235–246.

    Article  Google Scholar 

  • Bornmann, L., & Daniel, H.-D. (2008). What do citation counts measure? A review of studies on citing behavior. Journal of Documentation, 64(1), 45–80.

    Article  Google Scholar 

  • Bornmann, L., & Daniel, H.-D. (2010). Citation speed as a measure to predict the attention an article receives: An investigation of the validity of editorial decisions at Angewandte Chemie International Edition. Journal of Informetrics, 4, 83–88.

    Article  Google Scholar 

  • Cozzens, S. (1989). What do citations count? The rhetoric-first model. Scientometrics, 15(5–6), 437–447.

    Article  Google Scholar 

  • Garfield, E. (1973). Citation analysis as a tool in journal evaluation. Science New Series, 178, 471–479.

    Google Scholar 

  • Glanzel, W., & Thijs, B. (2004). The influence of author self-citations on bibliometric macro indicators. Scientometrics, 59(3), 281–310.

    Article  Google Scholar 

  • Hargens, L. L. (2000). Using the literature: Reference networks, reference contexts, and the social structure of scholarship. American Sociological Review, 65(6), 846–865.

    Article  Google Scholar 

  • Lewison, G., & Cunningham, P. (1991). Bibliometric studies for the evaluation of trans-national research. Scientometrics, 21, 223–244.

    Article  Google Scholar 

  • Leydesdorff, L. (1998). Theories of citation? Scientometrics, 43(1), 5–25.

    Article  Google Scholar 

  • MacRoberts, M., & MacRoberts, B. (1996). Problems of citation analysis. Scientometrics, 36(3), 435–444.

    Article  Google Scholar 

  • Merton, R. K. (1973). The Matthew effect in science. In R. K. Merton (Ed.), The Sociology of Science. Theoretical and Empirical Investigations (pp. 439–459). Chicago: Chicago University Press.

    Google Scholar 

  • Porter, A. L., Cohen, A. S., Roessner, J. D., & Perreault, M. (2007). Measuring researcher interdisciplinarity. Scientometrics, 72(1), 117–147.

    Article  Google Scholar 

  • Rafols, I., Leydesdorff, L., O’Hare, A., Nightingale, P., & Stirling, A. (2012). How journal rankings can suppress interdisciplinary research: A comparison between innovation studies and business & management. Research Policy, 41(7), 1262–1282.

    Article  Google Scholar 

  • Rogers, J. (2010). Citation analysis of nanotechnology at the field level: Implications of R&D evaluation. Research Evaluation, 19(4), 281–290.

    Article  Google Scholar 

  • Rogers, J. (2012). Is the difference in research center productivity real?: The effect of concentration of human resources in centers. Presentation at the Innovative Methods for Innovation Management and Policy Conference, Beijing.

  • Rogers, J., Youtie, J., & Kay, L. (2012). Program-level assessment of research centers: Contribution of nanoscale science and engineering centers to US nanotechnology national initiative goals. Research Evaluation, 21(5), 368–380.

    Article  Google Scholar 

  • Rousseau, R. (1999). Temporal differences in self-citation rates of scientific journals. Scientometrics, 44(3), 521–531.

    Article  Google Scholar 

  • Schubert, A., Glanzel, W., & Thijs, B. (2006). The weight of author self-citations. A fractional approach to self-citation counting. Scientometrics, 67(3), 503–514.

    Article  Google Scholar 

  • Shadish, W., Tolliver, D., Gray, M., & Gupta, S. (1995). Author judgements about works they cite: Three studies from psychology journals. Social Studies of Science, 25(3), 477–498.

    Article  Google Scholar 

  • Van Raan, A. F. J. (2004). Sleeping Beauties in science. Scientometrics, 59(3), 467–472.

    Google Scholar 

  • White, M., & Wang, P. (2000). A qualitative study of citing behavior: Contributions, criteria, and meta level documentation concerns. Library Quarterly, 67, 122–154.

    Article  Google Scholar 

  • Youtie, J., Kay, L., & Melkers, J. (2013). Bibliographic coupling and network analysis to assess knowledge coalescence in a research center environment. Research Evaluation, 22(3), 145–156.

    Google Scholar 

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Correspondence to Jan Youtie.

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Youtie, J. The use of citation speed to understand the effects of a multi-institutional science center. Scientometrics 100, 613–621 (2014). https://doi.org/10.1007/s11192-014-1297-4

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  • DOI: https://doi.org/10.1007/s11192-014-1297-4

Keywords

  • Citation
  • Research center
  • Speed
  • Self-citation

JEL Classification

  • C25