ArticleScientometrics2021
COVID-19 enabled co-authoring networks: a country-case 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 7 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
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Who cites it
7 citing papers in PubMed.
- Türkiye's 3-Year Coronavirus Disease 2019 Publication Performance in the Shadow of the Pandemic: A Bibliometric Analysis.Thoracic research and practice · 2024Article
- Social Network Analysis of COVID-19 Research and the Changing International Collaboration Structure.Journal of Shanghai Jiaotong University (science) · 2022Article
- Research on metallic glasses at the atomic scale: a systematic review.SN applied sciences · 2022Review
- Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation.SN social sciences · 2022Article
- Between panic and motivation: did the first wave of COVID-19 affect scientific publishing in Mediterranean countries?Scientometrics · 2022Article
- COVID-19 Pandemic Related Research in Africa: Bibliometric Analysis of Scholarly Output, Collaborations and Scientific Leadership.International journal of environmental research and public health · 2021Article
- Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research.Scientometrics · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper we seek to examine the co-authoring pattern of a select group of researchers that are affiliated with a specific country. By way of making use of standard bibliometric analysis, we explore the publication evolution of all COVID-19-related peer reviewed papers that have been (co)-authored by researchers that are affiliated with Greek institutions. The aim is to identify its advancement over time, the institutions involved and the countries with which the co-authors are affiliated with. The timeframe of the study spans from the moment that WHO Director-General declared the novel coronavirus outbreak a public health emergency of international concern (WHO, 2020. Archived: WHO timeline-covid-19. Retrieved from Archived: Who Timeline-COVID-19. https://www.who.int/news/item/27-04-2020-who-timeline---covid-19. Accessed on 10 May 2020., Archived: WHO timeline-covid-19), January 2020, to October 2020. Findings indicate that there is a steady increase in the number of publications as well as the number of scientific collaborations over time. At a cross-country level, results suggest that the affiliated institutional sectors such as the Higher Education Sector (HES) and the Government Sector (GOV) contributed the most in terms of scientific output. On an international scale, the evolution of the scientific collaboration is imprinted and distributed as a chain of affiliations that linked nations together. Such chains are represented as clusters of countries, in which the scientific connections between different countries can be visualised. It can be reasoned that a significant amount of publications (20%) is affiliated with countries having "traditionally" major scientific impact on the field of Medicine. Supplementary Information: The online version contains supplementary material available at 10.1007/s11192-021-03952-9.
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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.