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The relationship between journal productivity and obsolescence

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  • Danny P. Wallace

Abstract

This study examined the relationship between journal productivity and journal obsolescence for a database of references from articles dealing with desalination. Although these two variables have often been studied in isolation, no previous studies have examined their interaction within a single subject literature. It was hypothesized that those journals that were most productive would, on the average, have relatively short active lives, and that as journal productivity decreased, the average active lives of the articles contributed by a journal would increase. The number of references to a particular journal in the database was used as a measure of that journal's productivity. The measure of obsolescence used was the median age of the references to a particular journal. The hypothesized inverse linear relationship was not found to hold, although the data did exhibit an inverse tendency. It was found that highly productive journals did tend to have low journal median citation ages, and that high journal median citation ages were always associated with journals that were unproductive in terms of the numbers of references to those journals in the database. These extreme cases appeared to be distributed in a hyperbolic manner. The remaining journals, which were not highly productive and did not have high journal median citation ages, appeared to be distributed in a random manner. © 1986 John Wiley & Sons, Inc.

Suggested Citation

  • Danny P. Wallace, 1986. "The relationship between journal productivity and obsolescence," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(3), pages 136-145, May.
  • Handle: RePEc:bla:jamest:v:37:y:1986:i:3:p:136-145
    DOI: 10.1002/(SICI)1097-4571(198605)37:33.0.CO;2-R
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    Cited by:

    1. Wolfgang Glänzel & Henk F. Moed, 2002. "Journal impact measures in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 171-193, February.
    2. Wolfgang Glänzel, 2004. "Towards a model for diachronous and synchronous citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 511-522, August.
    3. Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
    4. Jang, Hyun Jin & Woo, Han-Gyun & Lee, Changyong, 2017. "Hawkes process-based technology impact analysis," Journal of Informetrics, Elsevier, vol. 11(2), pages 511-529.
    5. 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.
    6. Cecelia Brown, 2004. "The Matthew Effect of the Annual Reviews series and the flow of scientific communication through the World Wide Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(1), pages 25-30, May.
    7. Wallace, Danny P. & Van Fleet, Connie & Downs, Lacey J., 2011. "The research core of the knowledge management literature," International Journal of Information Management, Elsevier, vol. 31(1), pages 14-20.

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