ArticleScientometrics2021
Publication patterns' changes due to the COVID-19 pandemic: a longitudinal and short-term scientometric analysis.
Article in Scientometrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 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
52 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Systematic Review of Active Safety Surveillance of Vaccines and Medicines in Low- and Middle-Income Countries.Drug safety · 2026Pooled it
- The research landscape and evolutionary trends of platelet-derived extracellular vesicles: a bibliometric and LDA analysis (2015-2026).Frontiers in oncology · 2026Pooled it
- The neurophysiology of healthy and pathological aging: a comprehensive systematic review.Brain structure & function · 2025Pooled it
- Global Trends and Research Topics in Gastric Bypass Clinical Trials: A Bibliometric Analysis and Latent Dirichlet Allocation (LDA) Study.Obesity surgery · 2026Article
- Beyond impact factor: citation skew and article-level influence in sleep medicine journals.Sleep & breathing = Schlaf & Atmung · 2026Article
- PreprintToPaper dataset: connecting bioRxiv preprints with journal publications.Scientific data · 2026Article
- The impact of the COVID-19 pandemic on scientific publications in the field of hernia surgery: a brief bibliometric analysis.Hernia : the journal of hernias and abdominal wall surgery · 2026Article
- Impact of the COVID-19 pandemic on university performance: a retrospective follow-up study of the University of Split, Croatia.Journal of global health · 2026Article
- Trends in Imaging Studies for Flap Reconstruction Surgery: A Bibliometric Analysis.Plastic and reconstructive surgery. Global open · 2026Article
- Evaluating ChatGPT's responses to vaccine-related questions: the impact of question framing on content and quality.Translational pediatrics · 2025Article
- Research trends on herpes simplex encephalitis in children: a bibliometric analysis from 1975 to 2024.Translational pediatrics · 2025Article
- User Experience in mHealth Research: Bibliometric Analysis of Trends and Developments (2007-2023).JMIR mHealth and uHealth · 2025Review
- Mapping inequities in global vaccine sentiment research.BMJ global health · 2025Article
- Reporting Quality of Trend Analyses Published in Leading Medicine and Oncology Journals during 2008-2018.Exploratory research and hypothesis in medicine · 2025Article
- Neuroimaging in traumatic brain injury: a bibliometric analysis.International journal of emergency medicine · 2025Review
- Subacute Thyroiditis-Is it Really Linked to Viral Infection?The Journal of clinical endocrinology and metabolism · 2025Article
- Risk of bias and low reproducibility in meta-analytic evidence from fast-tracked publications during the coronavirus disease 2019 pandemic.PNAS nexus · 2025Article
- Leveraging AI to Optimize Maintenance of Health Evidence and Offer a One-Stop Shop for Quality-Appraised Evidence Syntheses on the Effectiveness of Public Health Interventions: Quality Improvement Project.Journal of medical Internet research · 2025Article
- Relationship between periodontitis and systemic diseases: A bibliometric and visual study.Periodontology 2000 · 2025Review
- Cancer publications using real-world data from the Taiwan National Health Insurance Research Database: Conceptual framework and bibliometric analysis.Journal of the Chinese Medical Association : JCMA · 2025Article
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2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent months the COVID-19 (also known as SARS-CoV-2 and Coronavirus) pandemic has spread throughout the world. In parallel, extensive scholarly research regarding various aspects of the pandemic has been published. In this work, we analyse the changes in biomedical publishing patterns due to the pandemic. We study the changes in the volume of publications in both peer reviewed journals and preprint servers, average time to acceptance of papers submitted to biomedical journals, international (co-)authorship of these papers (expressed by diversity and volume), and the possible association between journal metrics and said changes. We study these possible changes using two approaches: a short-term analysis through which changes during the first six months of the outbreak are examined for both COVID-19 related papers and non-COVID-19 related papers; and a longitudinal approach through which changes are examined in comparison to the previous four years. Our results show that the pandemic has so far had a tremendous effect on all examined accounts of scholarly publications: A sharp increase in publication volume has been witnessed and it can be almost entirely attributed to the pandemic; a significantly faster mean time to acceptance for COVID-19 papers is apparent, and it has (partially) come at the expense of non-COVID-19 papers; and a significant reduction in international collaboration for COVID-19 papers has also been identified. As the pandemic continues to spread, these changes may cause a slow down in research in non-COVID-19 biomedical fields and bring about a lower rate of international collaboration.
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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.