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

Autor/inn/en	Lund, Brady; Shamsi, Amrollah
Titel	Examining the use of supportive and contrasting citations in different disciplines: a brief study using Scite (scite.ai) data.
Quelle	In: Scientometrics, (2023) 8, S.4895-4900 PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0138-9130
DOI	10.1007/s11192-023-04781-8
Schlagwörter	Citation data; Scite.ai; Scite; Supportive citations; Contrasting citations; Citation context
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.
Erfasst von	OLC
Update	2024/1/01