BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

406 related articles for article (PubMed ID: 35061560)

  • 21. Twitter's Role in Combating the Magnetic Vaccine Conspiracy Theory: Social Network Analysis of Tweets.
    Ahmed W; Das R; Vidal-Alaball J; Hardey M; Fuster-Casanovas A
    J Med Internet Res; 2023 Mar; 25():e43497. PubMed ID: 36927550
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis.
    Jang H; Rempel E; Roe I; Adu P; Carenini G; Janjua NZ
    J Med Internet Res; 2022 Mar; 24(3):e35016. PubMed ID: 35275835
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Public perception of COVID-19 vaccines through analysis of Twitter content and users.
    Saleh SN; McDonald SA; Basit MA; Kumar S; Arasaratnam RJ; Perl TM; Lehmann CU; Medford RJ
    Vaccine; 2023 Jul; 41(33):4844-4853. PubMed ID: 37385887
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis.
    Jiang LC; Chu TH; Sun M
    JMIR Infodemiology; 2021; 1(1):e25636. PubMed ID: 34604707
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts.
    Liew TM; Lee CS
    JMIR Public Health Surveill; 2021 Nov; 7(11):e29789. PubMed ID: 34583316
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Information in Spanish on YouTube about Covid-19 vaccines.
    Hernández-García I; Gascón-Giménez I; Gascón-Giménez A; Giménez-Júlvez T
    Hum Vaccin Immunother; 2021 Nov; 17(11):3916-3921. PubMed ID: 34375570
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling.
    Ljajić A; Prodanović N; Medvecki D; Bašaragin B; Mitrović J
    J Med Internet Res; 2022 Nov; 24(11):e42261. PubMed ID: 36301673
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets.
    Zaidi Z; Ye M; Samon F; Jama A; Gopalakrishnan B; Gu C; Karunasekera S; Evans J; Kashima Y
    J Med Internet Res; 2023 Aug; 25():e45069. PubMed ID: 37552535
    [TBL] [Abstract][Full Text] [Related]  

  • 29. On the relationship between conspiracy theory beliefs, misinformation, and vaccine hesitancy.
    Enders AM; Uscinski J; Klofstad C; Stoler J
    PLoS One; 2022; 17(10):e0276082. PubMed ID: 36288357
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts.
    Chandrasekaran R; Desai R; Shah H; Kumar V; Moustakas E
    JMIR Infodemiology; 2022; 2(1):e33909. PubMed ID: 35462735
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Twitter discourse reveals geographical and temporal variation in concerns about COVID-19 vaccines in the United States.
    Guntuku SC; Buttenheim AM; Sherman G; Merchant RM
    Vaccine; 2021 Jul; 39(30):4034-4038. PubMed ID: 34140171
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The dramatic increase in anti-vaccine discourses during the COVID-19 pandemic: a social network analysis of Twitter.
    Durmaz N; Hengirmen E
    Hum Vaccin Immunother; 2022 Dec; 18(1):2025008. PubMed ID: 35113767
    [TBL] [Abstract][Full Text] [Related]  

  • 33. The effect of a short, animated story-based video on COVID-19 vaccine hesitancy: A study protocol for an online randomized controlled trial.
    Barteit S; Hachaturyan V; Beleites F; Kühn T; Favaretti C; Adam M; Bärnighausen T
    Front Public Health; 2022; 10():939227. PubMed ID: 36081470
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Association Between What People Learned About COVID-19 Using Web Searches and Their Behavior Toward Public Health Guidelines: Empirical Infodemiology Study.
    Akpan IJ; Aguolu OG; Kobara YM; Razavi R; Akpan AA; Shanker M
    J Med Internet Res; 2021 Sep; 23(9):e28975. PubMed ID: 34280117
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19-Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance Study.
    Pobiruchin M; Zowalla R; Wiesner M
    J Med Internet Res; 2020 Aug; 22(8):e19629. PubMed ID: 32790641
    [TBL] [Abstract][Full Text] [Related]  

  • 36. YouTube as a source of misinformation on COVID-19 vaccination: a systematic analysis.
    Li HO; Pastukhova E; Brandts-Longtin O; Tan MG; Kirchhof MG
    BMJ Glob Health; 2022 Mar; 7(3):. PubMed ID: 35264318
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Understanding the content of COVID-19 vaccination and pregnancy videos on YouTube: An analysis of videos published at the start of the vaccine rollout.
    Laforet PE; Basch CH; Tang H
    Hum Vaccin Immunother; 2022 Nov; 18(5):2066935. PubMed ID: 35507867
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms.
    Bari A; Heymann M; Cohen RJ; Zhao R; Szabo L; Apas Vasandani S; Khubchandani A; DiLorenzo M; Coffee M
    Clin Infect Dis; 2022 May; 74(Suppl_3):e4-e9. PubMed ID: 35568473
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S.
    Romer D; Jamieson KH
    Soc Sci Med; 2020 Oct; 263():113356. PubMed ID: 32967786
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study.
    Melton CA; White BM; Davis RL; Bednarczyk RA; Shaban-Nejad A
    J Med Internet Res; 2022 Oct; 24(10):e40408. PubMed ID: 36174192
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 21.