Misinformation About COVID-19 Vaccines on Social Media: Rapid Review

Abstract

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About

This paper, published in 1950, received 150 indexed citations. Written by Ingjerd Skafle, Anders Nordahl‐Hansen, Daniel Quintana, Rolf Wynn and Elia Gabarrón covering the research area of Artificial Intelligence, Sociology and Political Science and Health. It is primarily cited by scholars working on Health (107 citations), Sociology and Political Science (86 citations) and Infectious Diseases (40 citations). Published in Journal of Medical Internet Research.

In The Last Decade

doi.org/10.2196/37367 →

Countries where authors are citing Misinformation About COVID-19 Vaccines on Social Media: Rapid Review

Since Specialization
Citations

This map shows the geographic impact of Misinformation About COVID-19 Vaccines on Social Media: Rapid Review. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Misinformation About COVID-19 Vaccines on Social Media: Rapid Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misinformation About COVID-19 Vaccines on Social Media: Rapid Review more than expected).

Fields of papers citing Misinformation About COVID-19 Vaccines on Social Media: Rapid Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Misinformation About COVID-19 Vaccines on Social Media: Rapid Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Misinformation About COVID-19 Vaccines on Social Media: Rapid Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.2196/37367.

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