Cargando…
Content Analysis and Characterization of Medical Tweets During the Early Covid-19 Pandemic
Objective The novel coronavirus disease 2019 (Covid-19) has infected millions worldwide and impacted the lives of many folds more. Many clinicians share new Covid-19-related resources, research, and ideas within the online Free Open Access to Medical Education (FOAM) community of practice. This stud...
Autores principales: | Prager, Ross, Pratte, Michael T, Unni, Rudy R, Bala, Sudarshan, Ng Fat Hing, Nicholas, Wu, Kay, McGrath, Trevor A, Thomas, Adam, Thoma, Brent, Kyeremanteng, Kwadwo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007019/ https://www.ncbi.nlm.nih.gov/pubmed/33815994 http://dx.doi.org/10.7759/cureus.13594 |
Ejemplares similares
-
Characteristics and Outcomes for Low-Risk Hospital Admissions Admitted to the ICU: A Multisite Cohort Study
por: Prager, Ross T., et al.
Publicado: (2021) -
Impact of Tweet Content on the Number of Retweets ― “Tweet the Meeting 2022” ―
por: Suzuki, Takahiro, et al.
Publicado: (2023) -
Sweet tweets! Evaluating a new approach for probability-based sampling of Twitter
por: Buskirk, Trent D., et al.
Publicado: (2022) -
Clinical Reasoning in CanMEDS 2025
por: Young, Meredith, et al.
Publicado: (2023) -
A Case Report on Managing Hemolysis, Elevated Liver Enzymes, and Low Platelets (HELLP Syndrome) During a Rapid Response Code
por: Hasan, Nida, et al.
Publicado: (2020)