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Impact of the internet and scholar age distribution on academic citation age

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  • George A. Barnett
  • Edward L. Fink

Abstract

This article examines the impact of the Internet and the age distribution of research scholars on academic citation age with a mathematical model proposed by Barnett, Fink, and Debus (1989) and a revised model that incorporates information about the online environment and scholar age distribution. The modified model fits the data well, accounting for 99.6% of the variance for science citations and 99.8% for social science citations. The Internet's impact on the aging process of academic citations has been very small, accounting for only 0.1% for the social sciences and 0.8% for the sciences. Rather than resulting in the use of more recent citations, the Internet appears to have lengthened the average life of academic citations by 6 to 8 months. The aging of scholars seems to have a greater impact, accounting for 2.8% of the variance for the sciences and 0.9% for the social sciences. However, because the diffusion of the Internet and the aging of the professoriate are correlated over this time period, differentiating their effects is somewhat problematic.

Suggested Citation

  • George A. Barnett & Edward L. Fink, 2008. "Impact of the internet and scholar age distribution on academic citation age," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(4), pages 526-534, February.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:4:p:526-534
    DOI: 10.1002/asi.20706
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    Cited by:

    1. Nina Sakinah Ahmad Rofaie & Seuk Wai Phoong & Muzalwana Abdul Talib & Ainin Sulaiman, 2023. "Light-emitting diode (LED) research: A bibliometric analysis during 2003–2018," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 173-191, February.
    2. 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.
    3. Ehsan Mohammadi & Mike Thelwall & Stefanie Haustein & Vincent Larivière, 2015. "Who reads research articles? An altmetrics analysis of Mendeley user categories," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1832-1846, September.
    4. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2019. "Cross-national distance and international business: an analysis of the most influential recent models," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 173-208, October.
    5. Metwaly Ali Mohamed Eldakar, 2019. "Who reads international Egyptian academic articles? An altmetrics analysis of Mendeley readership categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 105-135, October.
    6. Clarice Gameiro Fonseca Pachi & Jorge Futoshi Yamamoto & Anna Paula Amadeu Costa & Luis Fernandez Lopez, 2012. "Relationship between connectivity and academic productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 265-278, November.
    7. Martorell Cunil, Onofre & Otero González, Luis & Durán Santomil, Pablo & Mulet Forteza, Carlos, 2023. "How to accomplish a highly cited paper in the tourism, leisure and hospitality field," Journal of Business Research, Elsevier, vol. 157(C).
    8. Yanhui Song & Feng Ma & Siluo Yang, 2015. "Comparative study on the obsolescence of humanities and social sciences in China: under the new situation of web," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 365-388, January.
    9. Staša Milojević, 2012. "How Are Academic Age, Productivity and Collaboration Related to Citing Behavior of Researchers?," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-13, November.
    10. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2012. "Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2433-2450, December.
    11. Shahzad, Murtuza & Alhoori, Hamed & Freedman, Reva & Rahman, Shaikh Abdul, 2022. "Quantifying the online long-term interest in research," Journal of Informetrics, Elsevier, vol. 16(2).

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