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Measuring the citation impact of research journals in clinical neurology: A structural equation modelling analysis

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  • Weiping Yue

    (School of Information Systems, Technology and Management The University of New South Wales)

  • Concepción S. Wilson

    () (School of Information Systems, Technology and Management The University of New South Wales)

Abstract

This study develops and tests an integrated conceptual model of journal evaluation from varying perspectives of citation analysis. The main objective is to obtain a more complete understanding of the external factors affecting journal citation impact; that is, a theoretical construct measured by a number of citation indicators. Structural equation modelling (SEM) with partial least squares (PLS) is used to test the conceptual model with empirical data from journals in clinical neurology. Interrelationships among journal citation impact and four external factors (journal characteristics, journal accessibility, journal visibility and journal internationality) have been successfully explored, and the conceptual model of journal evaluation has been examined.

Suggested Citation

  • Weiping Yue & Concepción S. Wilson, 2004. "Measuring the citation impact of research journals in clinical neurology: A structural equation modelling analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 317-332, August.
  • Handle: RePEc:spr:scient:v:60:y:2004:i:3:d:10.1023_b:scie.0000034377.93437.18
    DOI: 10.1023/B:SCIE.0000034377.93437.18
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    References listed on IDEAS

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    1. Hendrik P. van Dalen & Kène Henkens, 1999. "How Influential Are Demography Journals?," Population and Development Review, The Population Council, Inc., vol. 25(2), pages 229-251, June.
    2. Shengli Ren & Ronald Rousseau, 2002. "International visibility of Chinese scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 389-405, March.
    3. Frank L DuBois & David Reeb, 2000. "Ranking the International Business Journals," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 31(4), pages 689-704, December.
    4. Thed N. Van Leeuwen & Henk F. Moed & Robert J. W. Tijssen & Martijn S. Visser & Anthony F. J. Van Raan, 2001. "Language biases in the coverage of the Science Citation Index and its consequencesfor international comparisons of national research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 335-346, April.
    5. Thomas E. Nisonger, 2002. "The relationship between international editorial board composition and citation measures in political science, business, and genetics journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 257-268, June.
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    Cited by:

    1. Sandra Rousseau, 2008. "Journal evaluation by environmental and resource economists: A survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 223-233, November.
    2. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    3. Matthias Filser & Alexander Brem & Johanna Gast & Sascha Kraus & Andrea Calabrò, 2016. "Innovation In Family Firms — Examining The Inventory And Mapping The Path," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-39, August.
    4. Alexander Kruggel & Victor Tiberius & Manuela Fabro, 2020. "Corporate Citizenship: Structuring the Research Field," Sustainability, MDPI, Open Access Journal, vol. 12(13), pages 1-19, June.
    5. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.

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