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Profiling citation impact: A new methodology

Author

Listed:
  • Jonathan Adams

    (Evidence Ltd)

  • Karen Gurney

    (Evidence Ltd)

  • Stuart Marshall

    (Evidence Ltd)

Abstract

A methodology for creating bibliometric impact profiles is described. The advantages of such profiles as a management tool to supplement the reporting power of traditional average impact metrics are discussed. The impact profile for the UK as a whole reveals the extent to which the median and modal UK impact values differ from and are significantly below average impact. Only one-third of UK output for 1995-2004 is above world average impact although the UK’s average world-normalised impact is 1.24. Time-categorised impact profiles are used to test hypotheses about changing impact and confirm that the increase in average UK impact is due to real improvement rather than a reduction in low impact outputs. The impact profile methodology has been applied across disciplines as well as years and is shown to work well in all subject categories. It reveals substantial variations in performance between disciplines. The value of calculating the profile median and mode as well as the average impact are demonstrated. Finally, the methodology is applied to a specific data-set to compare the impact profile of the elite Laboratory of Molecular Biology (Cambridge) with the relevant UK average. This demonstrates an application of the methodology by identifying where the institute’s exceptional performance is located. The value of impact profiles lies in their role as an interpretive aid for non-specialists, not as a technical transformation of the data for scientometricians.

Suggested Citation

  • Jonathan Adams & Karen Gurney & Stuart Marshall, 2007. "Profiling citation impact: A new methodology," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 325-344, August.
    • Handle: RePEc:spr:scient:v:72:y:2007:i:2:d:10.1007_s11192-007-1696-x
    DOI: 10.1007/s11192-007-1696-x
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    References listed on IDEAS

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    Cited by:

    1. Cova, Tânia F.G.G. & Jarmelo, Susana & Formosinho, Sebastião J. & de Melo, J. Sérgio Seixas & Pais, Alberto A.C.C., 2015. "Unsupervised characterization of research institutions with task-force estimation," Journal of Informetrics, Elsevier, vol. 9(1), pages 59-68.
    2. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & Nicolas Robinson-García & Daniel Torres-Salinas, 2013. "Benchmarking research performance at the university level with information theoretic measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 435-452, April.
    3. David A. Pendlebury & Jonathan Adams, 2012. "Comments on a critique of the Thomson Reuters journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 395-401, August.
    4. Oldac, Yusuf Ikbal & Yang, Lili, 2023. "Regionalisation and agency in science space: A historical bibliometric analysis of ASEAN science," International Journal of Educational Development, Elsevier, vol. 97(C).
    5. Michel Zitt, 2012. "The journal impact factor: angel, devil, or scapegoat? A comment on J.K. Vanclay’s article 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 485-503, August.
    6. Jonathan Adams & Jo Johnson & Jonathan Grant, 2022. "The rise of UK–China research collaboration: Trends, opportunities and challenges [The West Should Start Sending Its Scientists to China]," Science and Public Policy, Oxford University Press, vol. 49(1), pages 132-147.
    7. Juan Gorraiz & Ursula Ulrych & Wolfgang Glänzel & Wenceslao Arroyo-Machado & Daniel Torres-Salinas, 2022. "Measuring the excellence contribution at the journal level: an alternative to Garfield’s impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7229-7251, December.
    8. Juan Gorraiz & Ralph Reimann & Christian Gumpenberger, 2012. "Key factors and considerations in the assessment of international collaboration: a case study for Austria and six countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 417-433, May.
    9. Potter, Ross W.K. & Szomszor, Martin & Adams, Jonathan, 2020. "Interpreting CNCIs on a country-scale: The effect of domestic and international collaboration type," Journal of Informetrics, Elsevier, vol. 14(4).
    10. Juan Gorraiz & Christian Gumpenberger, 2015. "A flexible bibliometric approach for the assessment of professorial appointments," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1699-1719, December.
    11. Rodrigo Costas & Sarah de Rijcke & Noortje Marres, 2021. "“Heterogeneous couplings”: Operationalizing network perspectives to study science‐society interactions through social media metrics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 595-610, May.
    12. Zhou, Ping & Zhong, Yongfeng, 2012. "The citation-based indicator and combined impact indicator—New options for measuring impact," Journal of Informetrics, Elsevier, vol. 6(4), pages 631-638.
    13. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    14. Wolfgang Glänzel & Bart Thijs & Koenraad Debackere, 2014. "The application of citation-based performance classes to the disciplinary and multidisciplinary assessment in national comparison and institutional research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 939-952, November.

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