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Citation patterns of the pre-web and web-prevalent environments: The moderating effects of domain knowledge

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  • Ling-Ling Wu
  • Mu-Hsuan Huang
  • Ching-Yi Chen

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  • Ling-Ling Wu & Mu-Hsuan Huang & Ching-Yi Chen, 2012. "Citation patterns of the pre-web and web-prevalent environments: The moderating effects of domain knowledge," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2182-2194, November.
  • Handle: RePEc:bla:jinfst:v:63:y:2012:i:11:p:2182-2194
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    References listed on IDEAS

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    1. Mary Ann Fitzgerald & Chad Galloway, 2001. "Relevance judging, evaluation, and decision making in virtual libraries: A descriptive study," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(12), pages 989-1010.
    2. Barbara M. Wildemuth, 2004. "The effects of domain knowledge on search tactic formulation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(3), pages 246-258, February.
    3. Boryung Ju, 2007. "Does domain knowledge matter: Mapping users' expertise to their information interactions," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2007-2020, November.
    4. María‐del‐Mar Camacho‐Miñano & Manuel Núñez‐Nickel, 2009. "The multilayered nature of reference selection," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(4), pages 754-777, April.
    5. Derek De Solla Price, 1976. "A general theory of bibliometric and other cumulative advantage processes," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(5), pages 292-306, September.
    6. Vincent Larivière & Éric Archambault & Yves Gingras, 2008. "Long‐term variations in the aging of scientific literature: From exponential growth to steady‐state science (1900–2004)," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(2), pages 288-296, January.
    7. Peiling Wang & Marilyn Domas White, 1999. "A cognitive model of document use during a research project. Study II. Decisions at the reading and citing stages," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(2), pages 98-114.
    8. Rao, Akshay R & Monroe, Kent B, 1988. "The Moderating Effect of Prior Knowledge on Cue Utilization in Product Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(2), pages 253-264, September.
    9. Carol Tenopir & Donald W. King & Peter Boyce & Matt Grayson & Keri‐Lynn Paulson, 2005. "Relying on electronic journals: Reading patterns of astronomers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(8), pages 786-802, June.
    10. 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.
    11. Franz Barjak, 2006. "Research productivity in the internet era," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 343-360, September.
    12. Wallace, Matthew L. & Larivière, Vincent & Gingras, Yves, 2009. "Modeling a century of citation distributions," Journal of Informetrics, Elsevier, vol. 3(4), pages 296-303.
    13. Nicolas Vibert & Christine Ros & Ludovic Le Bigot & Mélanie Ramond & Jérôme Gatefin & Jean‐François Rouet, 2009. "Effects of domain knowledge on reference search with the PubMed database: An experimental study," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1423-1447, July.
    14. Dag W Aksnes, 2003. "Characteristics of highly cited papers," Research Evaluation, Oxford University Press, vol. 12(3), pages 159-170, December.
    15. Kelly L. Maglaughlin & Diane H. Sonnenwald, 2002. "User perspectives on relevance criteria: A comparison among relevant, partially relevant, and not‐relevant judgments," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(5), pages 327-342.
    16. Peiling Wang & Dagobert Soergel, 1998. "A cognitive model of document use during a research project. Study I. Document selection," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(2), pages 115-133, February.
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    Cited by:

    1. Guihua Wang & Guangwei Hu, 2022. "Citations and the Nature of Cited Sources: A Cross-Disciplinary and Cross-Linguistic Study," SAGE Open, , vol. 12(2), pages 21582440221, April.
    2. Stefano Mammola & Diego Fontaneto & Alejandro Martínez & Filipe Chichorro, 2021. "Impact of the reference list features on the number of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 785-799, January.
    3. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).

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