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Assessing Obliteration by Incorporation: Issues and Caveats

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  • Katherine W. McCain

Abstract

Empirical studies of obliteration by incorporation (OBI) may be conducted at the level of the database record or the fulltext citation‐in‐context. To assess the difference between the two approaches, 1,040 articles with a variant of the phrase “evolutionarily stable strategies” (ESS) were identified by searching the Web of Science (Thomson Reuters, Philadelphia, PA) and discipline‐level databases. The majority (72%) of all articles were published in life sciences journals. The ESS concept is associated with a small set of canonical publications by John Maynard Smith; OBI represents a decoupling of the use of the phrase and a citation to a John Maynard Smith publication. Across all articles at the record level, OBI is measured by the number of articles with the phrase in the database record but which lack a reference to a source article (implicit citations). At the citation‐in‐context level, articles that coupled a non‐Maynard Smith citation with the ESS phrase (indirect citations) were counted along with those that cited relevant Maynard Smith publications (explicit citations) and OBI counted only based on those articles that lacked any citation coupled with the ESS text phrase. The degree of OBI observed depended on the level of analysis. Record‐level OBI trended upward, peaking in 2002 (62%), with a secondary drop and rebound to 53% (2008). Citation‐in‐context OBI percentages were lower with no clear pattern. Several issues relating to the design of empirical OBI studies are discussed.

Suggested Citation

  • Katherine W. McCain, 2012. "Assessing Obliteration by Incorporation: Issues and Caveats," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2129-2139, November.
  • Handle: RePEc:bla:jamist:v:63:y:2012:i:11:p:2129-2139
    DOI: 10.1002/asi.22719
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    Cited by:

    1. András Schubert & Wolfgang Glänzel & Gábor Schubert, 2022. "Eponyms in science: famed or framed?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1199-1207, March.
    2. Katherine W. McCain, 2014. "Assessing obliteration by incorporation in a full-text database: JSTOR, Economics, and the concept of “bounded rationality”," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1445-1459, November.
    3. Guillaume Cabanac, 2014. "Extracting and quantifying eponyms in full-text articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1631-1645, March.
    4. Werner Marx & Robin Haunschild & Andreas Thor & Lutz Bornmann, 2017. "Which early works are cited most frequently in climate change research literature? A bibliometric approach based on Reference Publication Year Spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 335-353, January.
    5. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
    6. Werner Marx & Robin Haunschild & Bernie French & Lutz Bornmann, 2017. "Slow reception and under-citedness in climate change research: A case study of Charles David Keeling, discoverer of the risk of global warming," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1079-1092, August.

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