Diversity in citations to a single study

A citation context network analysis of how evidence from a prospective cohort study was cited

Bibliographic Data

ID21255729
AuthorsRhodri Leng (0000-0002-4861-826X, University of Edinburgh, corresponding author)
Year2021
Volume2
Issue4
Pages1216-1245
Publication date2021-12-01
Open AccessYes
TypeARTICLE
VenueQuantitative Science Studies (JOURNAL)
Journal identifiersISSN: 2641-3337 • E-ISSN: 2641-3337
PublisherMIT Press (PUBLISHER • US)
DOI10.1162/qss_a_00154
OpenAlexW3200550503
LanguageEN
References cited110

Between its origin in the 1950s and its endorsement by a consensus conference in 1984, the diet–heart hypothesis was the subject of intense controversy. Paul et al. (1963) is a highly cited prospective cohort study that reported findings inconvenient for this hypothesis, reporting no association between diet and heart disease; however, many other findings were also reported. By citation context and network analysis of 343 citing papers, I show how Paul et al. was cited in the 20 years after its publication. Generally, different findings were cited by different communities focusing on different risk factors; these communities were established by either research foci title terms or via cluster membership as established via modularity maximization. The most frequently cited findings were the significant associations between heart disease and serum cholesterol (n = 85), blood pressure (n = 57), and coffee consumption (n = 54). The lack of association between diet and heart disease was cited in just 41 papers. Yet, no single empirical finding was referred to in more than 25% of the citing papers. This raises questions about the value of inferring impact from citation counts alone and raises problems for studies using such counts to measure citation bias

Biology · Citation · Cohort study · Library science · Prospective cohort study · Bioinformatics and Genomic Networks · Medicine · Meta-analysis and systematic reviews · Psychology · scientometrics and bibliometrics research · Internal Medicine

Tools

Open DOIOpen Access