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The correlation between citation-based and expert-based assessments of publication channels: SNIP and SJR vs. Norwegian quality assessments

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  • Ahlgren, Per
  • Waltman, Ludo

Abstract

We study the correlation between citation-based and expert-based assessments of journals and series, which we collectively refer to as sources. The source normalized impact per paper (SNIP), the Scimago Journal Rank 2 (SJR2) and the raw impact per paper (RIP) indicators are used to assess sources based on their citations, while the Norwegian model is used to obtain expert-based source assessments. We first analyze – within different subject area categories and across such categories – the degree to which RIP, SNIP and SJR2 values correlate with the quality levels in the Norwegian model. We find that sources at higher quality levels on average have substantially higher RIP, SNIP, and SJR2 values. Regarding subject area categories, SNIP seems to perform substantially better than SJR2 from the field normalization point of view. We then compare the ability of RIP, SNIP and SJR2 to predict whether a source is classified at the highest quality level in the Norwegian model or not. SNIP and SJR2 turn out to give more accurate predictions than RIP, which provides evidence that normalizing for differences in citation practices between scientific fields indeed improves the accuracy of citation indicators.

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  • Ahlgren, Per & Waltman, Ludo, 2014. "The correlation between citation-based and expert-based assessments of publication channels: SNIP and SJR vs. Norwegian quality assessments," Journal of Informetrics, Elsevier, vol. 8(4), pages 985-996.
    • Handle: RePEc:eee:infome:v:8:y:2014:i:4:p:985-996
    DOI: 10.1016/j.joi.2014.09.010
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    1. Per Ahlgren & Cristian Colliander & Olle Persson, 2012. "Field normalized citation rates, field normalized journal impact and Norwegian weights for allocation of university research funds," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 767-780, September.
    2. Serenko, Alexander & Dohan, Michael, 2011. "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence," Journal of Informetrics, Elsevier, vol. 5(4), pages 629-648.
    3. Thed N. van Leeuwen & Clara Calero Medina, 2012. "Redefining the field of economics: Improving field normalization for the application of bibliometric techniques in the field of economics," Research Evaluation, Oxford University Press, vol. 21(1), pages 61-70, February.
    4. Ludo Waltman & Nees Jan Eck & Thed N. Leeuwen & Martijn S. Visser & Anthony F. J. Raan, 2011. "Towards a new crown indicator: an empirical analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 467-481, June.
    5. Vanclay, Jerome K., 2011. "An evaluation of the Australian Research Council's journal ranking," Journal of Informetrics, Elsevier, vol. 5(2), pages 265-274.
    6. Michel Zitt & Suzy Ramanana-Rahary & Elise Bassecoulard, 2005. "Relativity of citation performance and excellence measures: From cross-field to cross-scale effects of field-normalisation," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(2), pages 373-401, April.
    7. Loet Leydesdorff & Lutz Bornmann, 2011. "How fractional counting of citations affects the impact factor: Normalization in terms of differences in citation potentials among fields of science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(2), pages 217-229, February.
    8. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S., 2013. "Some modifications to the SNIP journal impact indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 272-285.
    9. Christoph Neuhaus & Hans-Dieter Daniel, 2009. "A new reference standard for citation analysis in chemistry and related fields based on the sections of Chemical Abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 219-229, February.
    10. Zitt, Michel, 2010. "Citing-side normalization of journal impact: A robust variant of the Audience Factor," Journal of Informetrics, Elsevier, vol. 4(3), pages 392-406.
    11. Ludo Waltman & Rodrigo Costas, 2014. "F1000 Recommendations as a Potential New Data Source for Research Evaluation: A Comparison With Citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(3), pages 433-445, March.
    12. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    13. Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2012. "A further step forward in measuring journals’ scientific prestige: The SJR2 indicator," Journal of Informetrics, Elsevier, vol. 6(4), pages 674-688.
    14. Wolfgang Glänzel & András Schubert & Bart Thijs & Koenraad Debackere, 2011. "A priori vs. a posteriori normalisation of citation indicators. The case of journal ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 415-424, May.
    15. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S. & van Raan, Anthony F.J., 2011. "Towards a new crown indicator: Some theoretical considerations," Journal of Informetrics, Elsevier, vol. 5(1), pages 37-47.
    16. González-Pereira, Borja & Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2010. "A new approach to the metric of journals’ scientific prestige: The SJR indicator," Journal of Informetrics, Elsevier, vol. 4(3), pages 379-391.
    17. Loet Leydesdorff & Jung C. Shin, 2011. "How to evaluate universities in terms of their relative citation impacts: Fractional counting of citations and the normalization of differences among disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(6), pages 1146-1155, June.
    18. Michel Zitt & Henry Small, 2008. "Modifying the journal impact factor by fractional citation weighting: The audience factor," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1856-1860, September.
    19. Yan, Erjia & Guns, Raf, 2014. "Predicting and recommending collaborations: An author-, institution-, and country-level analysis," Journal of Informetrics, Elsevier, vol. 8(2), pages 295-309.
    20. Ludo Waltman & Nees Jan Eck, 2013. "Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 699-716, September.
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    10. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
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    12. Saarela, Mirka & Kärkkäinen, Tommi & Lahtonen, Tommi & Rossi, Tuomo, 2016. "Expert-based versus citation-based ranking of scholarly and scientific publication channels," Journal of Informetrics, Elsevier, vol. 10(3), pages 693-718.
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    Keywords

    Citation impact; Field normalization; Norwegian model; RIP; SJR2; SNIP;
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