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A diachronic perspective on citation latency in Wikipedia articles on CRISPR/Cas-9

An exploratory case study

Bibliographic Data

ID21443188
AuthorsMarion Schmidt (0000-0001-6970-3714, German Centre for Higher Education Research and Science Studies, corresponding author), Wolfgang Kircheis (0000-0002-0925-0503, Center for Scalable Data Analytics and Artificial Intelligence), Arno Simons (0000-0003-0657-5254, German Centre for Higher Education Research and Science Studies), Martin Potthast (0000-0003-2451-0665, Center for Scalable Data Analytics and Artificial Intelligence), Benno Stein (0000-0001-9033-2217, Bauhaus-Universität Weimar)
Year2023
Volume128
Issue6
Pages3649-3673
Publication date2023-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScientometrics (JOURNAL)
Journal identifiersISSN: 0138-9130 • E-ISSN: 1588-2861
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11192-023-04703-8
PMID37228830
OpenAlexW4376612278
LanguageEN
Citations received1
References cited28

This paper analyzes Wikipedia’s representation of the Nobel Prize winning CRISPR/Cas9 technology, a method for gene editing. We propose and evaluate different heuristics to match publications from several publication corpora against Wikipedia’s central article on CRISPR and against the complete Wikipedia revision history in order to retrieve further Wikipedia articles relevant to the topic and to analyze Wikipedia’s referencing patterns. We explore to what extent the selection of referenced literature of Wikipedia’s central article on CRISPR adheres to scientific standards and inner-scientific perspectives by assessing its overlap with (1) the Web of Science (WoS) database, (2) a WoS-based field-delineated corpus, (3) highly-cited publications within this corpus, and (4) publications referenced by field-specific reviews. We develop a diachronic perspective on citation latency and compare the delays with which publications are cited in relevant Wikipedia articles to the citation dynamics of these publications over time. Our results confirm that a combination of verbatim searches by title, DOI, and PMID is sufficient and cannot be improved significantly by more elaborate search heuristics. We show that Wikipedia references a substantial amount of publications that are recognized by experts and highly cited, but that Wikipedia also cites less visible literature, and, to a certain degree, even not strictly scientific literature. Delays in occurrence on Wikipedia compared to the publication years show (most pronounced in case of the central CRISPR article) a dependence on the dynamics of both the field and the editor’s reaction to it in terms of activity

Biology · Citation · CRISPR · Data science · Field (mathematics) · Heuristics · Information retrieval · Perspective (graphical) · Selection (genetic algorithm) · World Wide Web · Artificial Intelligence · Computer Science · CRISPR and Genetic Engineering · RNA and protein synthesis mechanisms · Wikis in Education and Collaboration

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Unique citing works1
Citations per year0.5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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