Examining the use of supportive and contrasting citations in different disciplines: a brief study using Scite (scite.ai) data

Brady Lund () and Amrollah Shamsi ()
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Brady Lund: University of North Texas
Amrollah Shamsi: Department of Medical Library & Information Sciences, Bushehr University of Medical Sciences

Scientometrics, 2023, vol. 128, issue 8, No 31, 4895-4900

Abstract: Abstract This study uses citation data from the Scite (scite.ai) web tool to determine which disciplines frequently use citations that either support or contrast previous works. The raw citation type data provided by the scite.ai tool is sorted into categories of “mentioning,” “supporting,” and “contrasting” to identify the disciplines that commonly use supporting citations and those that frequently use contrasting or combative citations. This data from scite.ai was aligned to major academic disciplines, as defined by Web of Science. Medicine has the most combative citations, while mathematics has the least. However, it is important to note that the “combativeness” of disciplines should not be seen as a negative. In fields like medicine, where flawed hypotheses or study findings can have serious consequences, it is necessary to challenge problematic ideas and findings. This study adds a new dimension of depth by not only examining the frequency of mentioning, supporting, and contrasting citation, but also employing and evaluating the efficacy of the scite.ai tool for this purpose.

Keywords: Citation data; Scite.ai; Scite; Supportive citations; Contrasting citations; Citation context (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11192-023-04781-8

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