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Citation Context Analysis

Citation context analysis looks past the bare count of citations to ask why and how a work is cited, by reading the text surrounding each in-text reference and classifying its function, sentiment, and content. Where ordinary citation counting treats every reference as an equal vote, this method recognizes that citations differ: some are central to a paper's argument and others merely perfunctory, some confirm a cited finding and others dispute it, some use a method and others only mention a concept. Moravcsik and Murugesan's 1975 study of theoretical physics introduced the now-classic functional distinctions (conceptual versus operational, organic versus perfunctory, evolutionary versus juxtapositional, confirmative versus negational) and found that a large share of citations were perfunctory, casting doubt on citation counts as pure quality measures. Tahamtan and Bornmann's review situates this work within the broader question of what citation counts actually measure.

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출처

  1. Moravcsik, M. J., & Murugesan, P. (1975). Some Results on the Function and Quality of Citations. Social Studies of Science, 5(1), 86-92. DOI: 10.1177/030631277500500106
  2. Tahamtan, I., & Bornmann, L. (2019). What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018. Scientometrics, 121(3), 1635-1684. DOI: 10.1007/s11192-019-03243-4

이 페이지 인용 방법

ScholarGate. (2026, June 23). Citation Context Analysis (Citation Function, Sentiment, and Content). ScholarGate. https://scholargate.app/ko/library-information-science/citation-context-analysis

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이 방법을 참조하는 항목

ScholarGateCitation Context Analysis (Citation Context Analysis (Citation Function, Sentiment, and Content)). 2026-06-24에 다음에서 검색함: https://scholargate.app/ko/library-information-science/citation-context-analysis · 데이터셋: https://doi.org/10.5281/zenodo.20539026