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Improvement of the selectivity of citation indexes to science literature through inclusion of citation relationship indicators

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  • Ben‐Ami Lipetz

Abstract

Citation indexes to large bodies of science literature can often list far more citing references under the known cited reference than the user can afford the time to look up. By providing some additional information, beyond the minimal association of the citing reference with the cited reference, a citation index could provide the means for the user to select from a long list those citing references which are most relevant to his immediate search requirement. Means of providing this selectivity are discussed. Particular attention is given to the possibility of adding short codes to the citation entries which would be informative on the way in which the citing publication is operationally related to the cited one (this method is an integral feature of the Shepard's legal citations). A scheme of citation relationships of potential value to users of science literature is presented. These relationships were tested on a sampling of physics literature. The suggested categories include indicators of the relation of the citing reference to the scientific process in general, as well as indicators of its relationship to the cited reference in particular. Assignment of the categories to a citation requires the exercise of judgment, as in subject indexing, but does not involve the use of subject terminology. An illustration is provided of the application of citation relationship indicators to an excerpt from a citation index to physics literature.

Suggested Citation

  • Ben‐Ami Lipetz, 1965. "Improvement of the selectivity of citation indexes to science literature through inclusion of citation relationship indicators," American Documentation, Wiley Blackwell, vol. 16(2), pages 81-90, April.
    • Handle: RePEc:bla:amedoc:v:16:y:1965:i:2:p:81-90
    DOI: 10.1002/asi.5090160207
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    Cited by:

    1. Ding, Ying & Liu, Xiaozhong & Guo, Chun & Cronin, Blaise, 2013. "The distribution of references across texts: Some implications for citation analysis," Journal of Informetrics, Elsevier, vol. 7(3), pages 583-592.
    2. Frederique Bordignon, 2022. "Critical citations in knowledge construction and citation analysis: from paradox to definition," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 959-972, February.
    3. Yu-Wei Chang, 2013. "A comparison of citation contexts between natural sciences and social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 535-553, August.
    4. Chao Lu & Ying Ding & Chengzhi Zhang, 2017. "Understanding the impact change of a highly cited article: a content-based citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 927-945, August.
    5. Dongqing Lyu & Xuanmin Ruan & Juan Xie & Ying Cheng, 2021. "The classification of citing motivations: a meta-synthesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3243-3264, April.
    6. Masaki Eto, 2013. "Evaluations of context-based co-citation searching," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 651-673, February.
    7. Maryam Yaghtin & Hajar Sotudeh & Mahdieh Mirzabeigi & Seyed Mostafa Fakhrahmad & Mehdi Mohammadi, 2019. "In quest of new document relations: evaluating co-opinion relations between co-citations and its impact on Information retrieval effectiveness," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 987-1008, May.
    8. Kai Nishikawa, 2023. "How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2975-2997, May.
    9. Marc Bertin & Iana Atanassova & Cassidy R. Sugimoto & Vincent Lariviere, 2016. "The linguistic patterns and rhetorical structure of citation context: an approach using n-grams," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1417-1434, December.
    10. Qikai Cheng & Jiamin Wang & Wei Lu & Yong Huang & Yi Bu, 2020. "Keyword-citation-keyword network: a new perspective of discipline knowledge structure analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1923-1943, September.
    11. J. Hubert, 1977. "Bibliometric models for journal productivity," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 4(1), pages 441-473, January.
    12. José Satsumi López-Morales & Héctor Francisco Salazar-Núñez & Claudia Guadalupe Zarrabal-Gutiérrez, 2022. "The impact of qualitative methods on article citation: an international business research perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3225-3236, June.
    13. Binglu Wang & Yi Bu & Yang Xu, 2018. "A quantitative exploration on reasons for citing articles from the perspective of cited authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 675-687, August.
    14. Kim Kapseon, 2004. "The motivation for citing specific references by social scientists in Korea: The phenomenon of co-existing references," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 79-93, January.
    15. Jianhua Hou, 2017. "Exploration into the evolution and historical roots of citation analysis by referenced publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1437-1452, March.
    16. Wang, Shiyun & Mao, Jin & Lu, Kun & Cao, Yujie & Li, Gang, 2021. "Understanding interdisciplinary knowledge integration through citance analysis: A case study on eHealth," Journal of Informetrics, Elsevier, vol. 15(4).

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