ArticleBMJ (Clinical research ed.)2009
How citation distortions create unfounded authority: analysis of a citation network.
Article in BMJ (Clinical research ed.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
128 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Bibliometric analysis of quality of life in implant-based breast reconstruction.Frontiers in oncology · 2024Pooled it
- Unfounded authority, underpowered studies, and non-transparent reporting perpetuate the Mozart effect myth: a multiverse meta-analysis.Scientific reports · 2023Pooled it
- A systematic review of the emerging definition of 'deprescribing' with network analysis: implications for future research and clinical practice.British journal of clinical pharmacology · 2015Pooled it
- An autism case history to review the systematic analysis of large-scale data to refine the diagnosis and treatment of neuropsychiatric disorders.Biological psychiatry · 2015Pooled it
- Reappraisal of metformin efficacy in the treatment of type 2 diabetes: a meta-analysis of randomised controlled trials.PLoS medicine · 2012 · on this mapPooled it
- Iron, zinc and copper in the Alzheimer's disease brain: a quantitative meta-analysis. Some insight on the influence of citation bias on scientific opinion.Progress in neurobiology · 2011Pooled it
- The 42 problem in AI-assisted research.eLife · 2026Article
- LitBench: A Benchmark for Retrieval-Grounded Multi-Paper Evidence Synthesis in Epilepsy.medRxiv : the preprint server for health sciences · 2026Article
- PRISMA 2020 Is a Reporting Guideline for Systematic Reviews but Is Often Misused to Guide Review Content.Cochrane evidence synthesis and methods · 2026Article
- Why Radiomics Rarely Reaches the Clinic: Reproducibility, Validation, and Evidence Gap-A Critical Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- A scoping review of guides and advice for scholarly citing in health research.Research integrity and peer review · 2026Review
- Rosetta Statements: simplifying FAIR knowledge graph construction with a user-centred approach.Database : the journal of biological databases and curation · 2026Article
- How recent is recent? Retrospective analysis of suspiciously timeless citations.BMJ (Clinical research ed.) · 2025Article
- Widely cited global irrigation statistics lack empirical support.PNAS nexus · 2025Article
- Article
- Suggestions for extending the FAIR Principles based on a linguistic perspective on semantic interoperability.Scientific data · 2025Article
- Botulinum Toxin in Aesthetic Medicine: A Bibliometric Analysis of Research Trends and Methodological Quality of the Top 100 Cited Publications.Aesthetic surgery journal. Open forum · 2025Article
- Global research hotspots and trends in brucellosis: a bibliometric and visualization analysis based on CiteSpace and VOSviewer.Frontiers in medicine · 2025Article
- Toward a roadmap for addressing today's health dilemma-The 101-statement consensus report.Frontiers in nutrition · 2025Article
- Assessing citation integrity in biomedical publications: corpus annotation and NLP models.Bioinformatics (Oxford, England) · 2024Article
68 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
objectiveTo understand belief in a specific scientific claim by studying the pattern of citations among papers stating it.
designA complete citation network was constructed from all PubMed indexed English literature papers addressing the belief that beta amyloid, a protein accumulated in the brain in Alzheimer's disease, is produced by and injures skeletal muscle of patients with inclusion body myositis. Social network theory and graph theory were used to analyse this network.
main outcome measuresCitation bias, amplification, and invention, and their effects on determining authority.
resultsThe network contained 242 papers and 675 citations addressing the belief, with 220,553 citation paths supporting it. Unfounded authority was established by citation bias against papers that refuted or weakened the belief; amplification, the marked expansion of the belief system by papers presenting no data addressing it; and forms of invention such as the conversion of hypothesis into fact through citation alone. Extension of this network into text within grants funded by the National Institutes of Health and obtained through the Freedom of Information Act showed the same phenomena present and sometimes used to justify requests for funding.
conclusionCitation is both an impartial scholarly method and a powerful form of social communication. Through distortions in its social use that include bias, amplification, and invention, citation can be used to generate information cascades resulting in unfounded authority of claims. Construction and analysis of a claim specific citation network may clarify the nature of a published belief system and expose distorted methods of social citation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.