Compara mètodes

	Citation Context Analysis	Reference Accuracy Study
Camp	Library Information Science	Library Information Science
Família	Process / pipeline	Process / pipeline
Any d'origen	1975	2017
Autor original	Michael J. Moravcsik & Poovanalingam Murugesan	Biomedical and library science literature on citation accuracy; Scott A. Mogull (synthesis)
Tipus	Content-analytic pipeline for classifying the function and sentiment of in-text citations	Verification pipeline estimating bibliographic and quotation error rates in reference lists
Font seminal	Moravcsik, M. J., & Murugesan, P. (1975). Some Results on the Function and Quality of Citations. Social Studies of Science, 5(1), 86-92.	Mogull, S. A. (2017). Accuracy of cited "facts" in medical research articles: A review of study methodology and recalculation of quotation error rate. PLOS ONE, 12(9), e0184727.
Àlies	Citation Function Analysis, Citation Content Analysis, Citation Sentiment Analysis, Citation Classification	Citation Error Analysis, Quotation Error Study, Reference Verification Study, Citation Accuracy Audit
Relacionats	2	2
Resum	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.	A reference accuracy study verifies the references in published work against their sources to estimate how often citations are wrong, distinguishing bibliographic errors (mistakes in author, title, year, volume, or pages) from quotation errors (cases where the cited source does not actually support the claim attributed to it). The method draws a sample of references, checks each one against the original document, and reports error rates as proportions with confidence intervals, often classifying errors by severity. Such studies have repeatedly found troubling rates: reviews of medical research, synthesized by Mogull (2017), put the quotation error rate near 14.5 percent, and Smith and Cumberledge (2020) found substantial quotation errors even in general science journals. For libraries and editors, these studies justify citation-checking services and reference-verification workflows.