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Why are there differences in citation impact?

This document explores the variations in citation impact within academic publishing through the lens of the Anna Karenina Principle. It discusses the influences of journal prestige, collaboration, and various metrics such as the Matthew and Matilda Effects on citation success. Additionally, it highlights significant correlation data from institutions like the University of Surrey, shedding light on domestic and international collaboration in fields such as mathematics and chemistry. Explore how these elements interplay to shape citation frequencies and overall academic impact.

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Why are there differences in citation impact?

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  1. Why are there differences in citation impact? Some success factors in gaining citation impact Michael Norris

  2. The Anna Karenina Principle Tolstoy’s first sentence in Anna Karenina: ‘All happy families resemble one another, each unhappy family is un-happy in its own way.’ Tolstoy, L. 1998. Anna Karenina. Trans. Maude, L & Maude A. Oxford: University Press Bornmann, L. & Marx, W. 2012. The Anna Karenina Principle: a way of thinking about success in science. JASIST 63(10), 2037-2051

  3. Or making films in Hollywood William Goldman ‘Nobody knows anything’ Goldman, W . 1996. Adventures in the screen trade:: a personal view of Hollywood and screenwriting. London: Abacus

  4. Factors which can affect citation impact • Journal Prestige • Collaboration • Matthew and Matilda Effects

  5. Journal Impact Factors / SCImago Journal Rank • In journals indexed by WoS or Scopus • Overall the higher the impact the better • But to the right audience • Who will cite you

  6. Data - University of Surrey & 1994 Group Subject areas made up from faculties Mean JIF 2006-10 Mean citation rate 2006-10 Significant correlation 0.64 to 0.69* *

  7. Collaboration • Domestic • International • Countries

  8. China & UK International Impact InCites - Thomson Reuters

  9. UK Mathematics - Impact InCites - Thomson Reuters

  10. UK Chemistry - Impact InCites - Thomson Reuters

  11. Collaboration Data - SCImago Journal and Country Rank

  12. Collaboration - Electronic Engineering Data – Thomson Reuters Web of Science

  13. Collaboration - Chemistry The End! Mean citation count by publication status Data – Thomson Reuters Web of Science

  14. Matthew and Matilda Effects For unto every one that hath shall be given, and he shall have abundance : but from him that hath not shall be taken away even that which he hath…. Matthew 13:12 Merton, R.K. 1968. The Matthew effect in science. Science 159(3810), 56-63.

  15. Success breeds success The rich get richer and the poor get poorer

  16. Mathew and Matilda Effect Source – SciVal Strata

  17. Mathew and Matilda Effect Source – SciVal Strata

  18. The End! Michael Norris University of Surrey michael.norris@surrey.ac.uk

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