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Highly cited old papers and the reasons why they continue to be cited. Part II., The 1953 Watson and Crick article on the structure of DNA

Author

Listed:
  • Tanzila Ahmed

    (Loughborough University)

  • Ben Johnson

    (Loughborough University)

  • Charles Oppenheim

    (Loughborough University)

  • Catherine Peck

    (Loughborough University)

Abstract

Reports the results of a citation study on Watson and Crick's 1953 paper announcing the discovery of the double helix structure of DNA. The paper has been cited more than 2,000 times since 1961, and there is no sign of any obsolescence to this article. An analysis was undertaken of the journals in which the citations appeared, and of mistakes in the bibliographic citations provided by citing articles. Watson and Crick themselves have only cited their own paper twice since 1961. An analysis was also undertaken of the reasons why the paper was cited; 100 citing articles were identified and read. The reasons for citing were then categorised using the Oppenheim and Renn method. Compared to earlier studies, it was found that a greater proportion of citations were for historical reasons, a smaller proportion of citing articles were actively using the Watson and Crick article, and a similar, but low proportion were criticising the Watson and Crick article.

Suggested Citation

  • Tanzila Ahmed & Ben Johnson & Charles Oppenheim & Catherine Peck, 2004. "Highly cited old papers and the reasons why they continue to be cited. Part II., The 1953 Watson and Crick article on the structure of DNA," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(2), pages 147-156, October.
    • Handle: RePEc:spr:scient:v:61:y:2004:i:2:d:10.1023_b:scie.0000041645.60907.57
    DOI: 10.1023/B:SCIE.0000041645.60907.57
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    References listed on IDEAS

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    Cited by:

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    2. Chi-Shiou Lin, 2018. "An analysis of citation functions in the humanities and social sciences research from the perspective of problematic citation analysis assumptions," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 797-813, August.
    3. Yu, Dejian & Sheng, Libo, 2021. "Influence difference main path analysis: Evidence from DNA and blockchain domain citation networks," Journal of Informetrics, Elsevier, vol. 15(4).
    4. Craig Aaen-Stockdale, 2017. "Selfish Memes: An Update of Richard Dawkins’ Bibliometric Analysis of Key Papers in Sociobiology," Publications, MDPI, vol. 5(2), pages 1-9, May.
    5. Sung-Soo Seol & Jung-Min Park, 2008. "Knowledge sources of innovation studies in Korea: A citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(1), pages 3-20, April.
    6. JingJing Zhang & Jiancheng Guan, 2017. "Scientific relatedness and intellectual base: a citation analysis of un-cited and highly-cited papers in the solar energy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 141-162, January.
    7. Thomas A. Hamrick & Ronald D. Fricker & Gerald G. Brown, 2010. "Assessing What Distinguishes Highly Cited from Less-Cited Papers Published in Interfaces," Interfaces, INFORMS, vol. 40(6), pages 454-464, December.
    8. Elizabeth S. Vieira & José A. N. F. Gomes, 2011. "An impact indicator for researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 607-629, November.

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