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A comprehensive examination of the relation of three citation-based journal metrics to expert judgment of journal quality

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  • Haddawy, Peter
  • Hassan, Saeed-Ul
  • Asghar, Awais
  • Amin, Sarah

Abstract

The academic and research policy communities have seen a long debate concerning the merits of peer review and quantitative citation-based metrics in evaluation of research. Some have called for replacing peer review with use of metrics for some evaluation purposes, while others have called for the use peer review informed by metrics. Whatever one's position, a key question is the extent to which peer review and quantitative metrics agree. In this paper we study the relation between the three journal metrics source normalized impact per paper (SNIP), raw impact per paper (RIP) and Journal Impact Factor (JIF) and human expert judgement. Using the journal rating system produced by the Excellence in Research for Australia (ERA) exercise, we examine the relationship over a set of more than 10,000 journals categorized into 27 subject areas. We analyze the relationship from the dimensions of correlation, distribution of the metrics over the rating tiers, and ROC analysis. Our results show that SNIP consistently has stronger agreement with the ERA rating, followed by RIP and then JIF along every dimension measured. The fact that SNIP has a stronger agreement than RIP demonstrates clearly that the increase in agreement is due to SNIP's database citation potential normalization factor. Our results suggest that SNIP may be a better choice than RIP or JIF in evaluation of journal quality in situations where agreement with expert judgment is an important consideration.

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  • Haddawy, Peter & Hassan, Saeed-Ul & Asghar, Awais & Amin, Sarah, 2016. "A comprehensive examination of the relation of three citation-based journal metrics to expert judgment of journal quality," Journal of Informetrics, Elsevier, vol. 10(1), pages 162-173.
  • Handle: RePEc:eee:infome:v:10:y:2016:i:1:p:162-173
    DOI: 10.1016/j.joi.2015.12.005
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    References listed on IDEAS

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    1. Bertocchi, Graziella & Gambardella, Alfonso & Jappelli, Tullio & Nappi, Carmela A. & Peracchi, Franco, 2015. "Bibliometric evaluation vs. informed peer review: Evidence from Italy," Research Policy, Elsevier, vol. 44(2), pages 451-466.
    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. 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.
    4. Vanclay, Jerome K., 2011. "An evaluation of the Australian Research Council's journal ranking," Journal of Informetrics, Elsevier, vol. 5(2), pages 265-274.
    5. Henk F Moed, 2007. "The future of research evaluation rests with an intelligent combination of advanced metrics and transparent peer review," Science and Public Policy, Oxford University Press, vol. 34(8), pages 575-583, October.
    6. 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.
    7. Martin, Ben R. & Irvine, John, 1993. "Assessing basic research : Some partial indicators of scientific progress in radio astronomy," Research Policy, Elsevier, vol. 22(2), pages 106-106, April.
    8. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    9. Ben R Martin, 2011. "The Research Excellence Framework and the ‘impact agenda’: are we creating a Frankenstein monster?," Research Evaluation, Oxford University Press, vol. 20(3), pages 247-254, September.
    10. 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.
    11. Dag W Aksnes & Randi Elisabeth Taxt, 2004. "Peer reviews and bibliometric indicators: a comparative study at a Norwegian university," Research Evaluation, Oxford University Press, vol. 13(1), pages 33-41, April.
    12. Gaby Haddow & Paul Genoni, 2010. "Citation analysis and peer ranking of Australian social science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 471-487, November.
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    8. Thelwall, Mike & Kousha, Kayvan & Stuart, Emma & Makita, Meiko & Abdoli, Mahshid & Wilson, Paul & Levitt, Jonathan, 2023. "Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations?," Research Policy, Elsevier, vol. 52(8).
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