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The effect of the “very important paper” (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis

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  • Rüdiger Mutz
  • Tobias Wolbring
  • Hans-Dieter Daniel

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  • Rüdiger Mutz & Tobias Wolbring & Hans-Dieter Daniel, 2017. "The effect of the “very important paper” (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2139-2153, September.
  • Handle: RePEc:bla:jinfst:v:68:y:2017:i:9:p:2139-2153
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    References listed on IDEAS

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    1. Bornmann, Lutz & Marx, Werner & Schier, Hermann & Rahm, Erhard & Thor, Andreas & Daniel, Hans-Dieter, 2009. "Convergent validity of bibliometric Google Scholar data in the field of chemistry—Citation counts for papers that were accepted by Angewandte Chemie International Edition or rejected but published els," Journal of Informetrics, Elsevier, vol. 3(1), pages 27-35.
    2. Georg Franck, 2002. "The scientific economy of attention: A novel approach to the collective rationality of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(1), pages 3-26, September.
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    4. Fernando A. B. Colugnati & Sergio Firpo & Paula F. Drummond Castro & Juan E. Sepulveda & Sergio L. M. Salles-Filho, 2014. "A propensity score approach in the impact evaluation on scientific production in Brazilian biodiversity research: the BIOTA Program," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 85-107, October.
    5. Bornmann, Lutz & Daniel, Hans-Dieter, 2009. "Extent of type I and type II errors in editorial decisions: A case study on Angewandte Chemie International Edition," Journal of Informetrics, Elsevier, vol. 3(4), pages 348-352.
    6. Fereshteh Didegah & Mike Thelwall, 2013. "Determinants of research citation impact in nanoscience and nanotechnology," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(5), pages 1055-1064, May.
    7. Wolfgang Glänzel & Henk F. Moed, 2002. "Journal impact measures in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 171-193, February.
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    9. Rüdiger Mutz & Hans-Dieter Daniel, 2012. "The generalized propensity score methodology for estimating unbiased journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 377-390, August.
    10. Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
    11. Mutz, Rüdiger & Daniel, Hans-Dieter, 2012. "Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor," Journal of Informetrics, Elsevier, vol. 6(2), pages 169-176.
    12. David Michayluk & Ralf Zurbruegg, 2014. "Do lead articles signal higher quality in the digital age? Evidence from finance journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 961-973, February.
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    15. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
    16. Tjur, Tue, 2009. "Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination," The American Statistician, American Statistical Association, vol. 63(4), pages 366-372.
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    21. Austin Peter C, 2009. "Type I Error Rates, Coverage of Confidence Intervals, and Variance Estimation in Propensity-Score Matched Analyses," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-24, April.
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