ArticleJournal of medical Internet research2020
Research Output and International Cooperation Among Countries During the COVID-19 Pandemic: Scientometric Analysis.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Mapping the Momentum : Evaluating Research Productivity and Collaborative Networks in Bioethics Across the Eastern Mediterranean Region.Journal of bioethical inquiry · 2026Article
- Mapping the vast landscape of multisystem complications of COVID-19: Bibliometric analysis.Heliyon · 2024Article
- Mapping the landscape of medical research in the Arab world countries: A comprehensive bibliometric analysis.Saudi medical journal · 2024Article
- COVID-19 research in South Asia: a bibliometric analysis of the 100 most-cited articles.GMS hygiene and infection control · 2023Review
- Ethnicity in Anaesthesia research: Time to search our own backyards!Indian journal of anaesthesia · 2022Article
- Palliative Care Landscape in the COVID-19 Era: Bibliometric Analysis of Global Research.Healthcare (Basel, Switzerland) · 2022Review
- Online and In-Person Learning Preferences during the COVID-19 Pandemic among Students Attending the City University of New York.Journal of microbiology & biology education · 2022Article
- Discovering temporal scientometric knowledge in COVID-19 scholarly production.Scientometrics · 2022Article
- Questionnaire Survey on Vaccination Willingness and the Status of COVID-19 Vaccination Among Patients with Rheumatic Disease: A Single-Center Survey in China.Patient preference and adherence · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has instigated immediate and massive worldwide research efforts. Rapid publication of research data may be desirable but also carries the risk of quality loss.
objectiveThis analysis aimed to correlate the severity of the COVID-19 outbreak with its related scientific output per country.
methodsAll articles related to the COVID-19 pandemic were retrieved from Web of Science and analyzed using the web application SciPE (science performance evaluation), allowing for large data scientometric analyses of the global geographical distribution of scientific output.
resultsA total of 7185 publications, including 2592 articles, 2091 editorial materials, 2528 early access papers, 1479 letters, 633 reviews, and other contributions were extracted. The top 3 countries involved in COVID-19 research were the United States, China, and Italy. The confirmed COVID-19 cases or deaths per region correlated with scientific research output. The United States was most active in terms of collaborative efforts, sharing a significant amount of manuscript authorships with the United Kingdom, China, and Italy. The United States was China's most frequent collaborative partner, followed by the United Kingdom.
conclusionsThe COVID-19 research landscape is rapidly developing and is driven by countries with a generally strong prepandemic research output but is also significantly affected by countries with a high prevalence of COVID-19 cases. Our findings indicate that the United States is leading international collaborative efforts.
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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.