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Citation speed as a measure to predict the attention an article receives: An investigation of the validity of editorial decisions at Angewandte Chemie International Edition

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  • Bornmann, Lutz
  • Daniel, Hans-Dieter

Abstract

The scientific quality of a publication can be determined not only based on the number of times it is cited but also based on the speed with which its content is disseminated in the scientific community. In this study we tested whether manuscripts that were accepted by Angewandte Chemie International Edition (one of the prime chemistry journals worldwide) received the first citation after publication faster than manuscripts that were rejected by the journal but published elsewhere. The results of a Cox regression model show that accepted manuscripts have a 49% higher hazard rate of citation than rejected manuscripts.

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  • Bornmann, Lutz & Daniel, Hans-Dieter, 2010. "Citation speed as a measure to predict the attention an article receives: An investigation of the validity of editorial decisions at Angewandte Chemie International Edition," Journal of Informetrics, Elsevier, vol. 4(1), pages 83-88.
    • Handle: RePEc:eee:infome:v:4:y:2010:i:1:p:83-88
    DOI: 10.1016/j.joi.2009.09.001
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    References listed on IDEAS

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    1. 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.
    2. Leo Egghe, 2000. "A Heuristic Study of the First-Citation Distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 48(3), pages 345-359, July.
    3. Hendrik P. van Dalen & K?ne Henkens, 2005. "Signals in science - On the importance of signaling in gaining attention in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 209-233, August.
    4. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    5. Wolfgang Glänzel & Koenraad Debackere & Bart Thijs & András Schubert, 2006. "A concise review on the role of author self-citations in information science, bibliometrics and science policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(2), pages 263-277, May.
    6. Hendrik P. van Dalen & Kène Henkens, 2004. "Demographers and Their Journals: Who Remains Uncited After Ten Years?," Population and Development Review, The Population Council, Inc., vol. 30(3), pages 489-506, September.
    7. Lutz Bornmann & Hans‐Dieter Daniel, 2008. "Selecting manuscripts for a high‐impact journal through peer review: A citation analysis of communications that were accepted by Angewandte Chemie International Edition, or rejected but published else," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1841-1852, September.
    8. Lutz Bornmann & Hans‐Dieter Daniel, 2007. "Multiple publication on a single research study: Does it pay? The influence of number of research articles on total citation counts in biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(8), pages 1100-1107, June.
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    Cited by:

    1. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    2. Jan Youtie, 2014. "The use of citation speed to understand the effects of a multi-institutional science center," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 613-621, September.
    3. Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.
    4. Wanjun Xia & Tianrui Li & Chongshou Li, 2023. "A review of scientific impact prediction: tasks, features and methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 543-585, January.
    5. Wen-Yau Cathy Lin, 2021. "Effects of open access and articles-in-press mechanisms on publishing lag and first-citation speed: a case on energy and fuels journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4841-4869, June.
    6. Rodrigo Costas & Thed N. Leeuwen & Anthony F. J. Raan, 2011. "The “Mendel syndrome” in science: durability of scientific literature and its effects on bibliometric analysis of individual scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 177-205, October.
    7. Finardi, Ugo, 2014. "On the time evolution of received citations, in different scientific fields: An empirical study," Journal of Informetrics, Elsevier, vol. 8(1), pages 13-24.
    8. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2011. "Assessing the varying level of impact measurement accuracy as a function of the citation window length," Journal of Informetrics, Elsevier, vol. 5(4), pages 659-667.
    9. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
    10. Soo Jeung Lee & Christian Schneijderberg & Yangson Kim & Isabel Steinhardt, 2021. "Have Academics’ Citation Patterns Changed in Response to the Rise of World University Rankings? A Test Using First-Citation Speeds," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
    11. Bornmann, Lutz & Daniel, Hans-Dieter, 2010. "The citation speed index: A useful bibliometric indicator to add to the h index," Journal of Informetrics, Elsevier, vol. 4(3), pages 444-446.
    12. Lutz Bornmann & Adam Y. Ye & Fred Y. Ye, 2017. "Sequence analysis of annually normalized citation counts: an empirical analysis based on the characteristic scores and scales (CSS) method," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1665-1680, December.

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