BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 33398297)

  • 1. COVID-19: An analysis of social media and research publication activity during the early stages of the pandemic.
    Taneja SL; Passi M; Bhattacharya S; Schueler SA; Gurram S; Koh C
    medRxiv; 2020 Dec; ():. PubMed ID: 33398297
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Social Media and Research Publication Activity During Early Stages of the COVID-19 Pandemic: Longitudinal Trend Analysis.
    Taneja SL; Passi M; Bhattacharya S; Schueler SA; Gurram S; Koh C
    J Med Internet Res; 2021 Jun; 23(6):e26956. PubMed ID: 33974550
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Asymmetric Influence of Emotion in the Sharing of COVID-19 Science on Social Media: Observational Study.
    Luo K; Yang Y; Teo HH
    JMIR Infodemiology; 2022; 2(2):e37331. PubMed ID: 36536762
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Dissemination of Anesthesia Information During the Coronavirus Disease 2019 Pandemic Through Twitter: An Infodemiology Study.
    Gai N; So D; Siddiqui A; Steinberg BE
    Anesth Analg; 2021 Aug; 133(2):515-525. PubMed ID: 33886509
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A call for governments to pause Twitter censorship: using Twitter data as social-spatial sensors of COVID-19/SARS-CoV-2 research diffusion.
    Patel VM; Haunschild R; Bornmann L; Garas G
    Scientometrics; 2021; 126(4):3193-3207. PubMed ID: 33678927
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantifying and contextualizing the impact of bioRxiv preprints through automated social media audience segmentation.
    Carlson J; Harris K
    PLoS Biol; 2020 Sep; 18(9):e3000860. PubMed ID: 32960891
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea.
    Park HW; Park S; Chong M
    J Med Internet Res; 2020 May; 22(5):e18897. PubMed ID: 32325426
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly.
    Añazco D; Nicolalde B; Espinosa I; Camacho J; Mushtaq M; Gimenez J; Teran E
    PeerJ; 2021; 9():e10927. PubMed ID: 33717688
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Public Reactions towards the COVID-19 Pandemic on Twitter in the United Kingdom and the United States.
    Zou C; Wang X; Xie Z; Li D
    medRxiv; 2020 Jul; ():. PubMed ID: 32766599
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Smoking, Vaping, and Tobacco Industry During COVID-19 Pandemic: Twitter Data Analysis.
    Kamiński M; Muth A; Bogdański P
    Cyberpsychol Behav Soc Netw; 2020 Dec; 23(12):811-817. PubMed ID: 32757951
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Proliferation of Papers and Preprints During the Coronavirus Disease 2019 Pandemic: Progress or Problems With Peer Review?
    Vlasschaert C; Topf JM; Hiremath S
    Adv Chronic Kidney Dis; 2020 Sep; 27(5):418-426. PubMed ID: 33308508
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using Twitter Comments to Understand People's Experiences of UK Health Care During the COVID-19 Pandemic: Thematic and Sentiment Analysis.
    Ainley E; Witwicki C; Tallett A; Graham C
    J Med Internet Res; 2021 Oct; 23(10):e31101. PubMed ID: 34469327
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Tracking discussions of complementary, alternative, and integrative medicine in the context of the COVID-19 pandemic: a month-by-month sentiment analysis of Twitter data.
    Ng JY; Abdelkader W; Lokker C
    BMC Complement Med Ther; 2022 Apr; 22(1):105. PubMed ID: 35418205
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of Hate Speech in COVID-19-Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach.
    Alshalan R; Al-Khalifa H; Alsaeed D; Al-Baity H; Alshalan S
    J Med Internet Res; 2020 Dec; 22(12):e22609. PubMed ID: 33207310
    [TBL] [Abstract][Full Text] [Related]  

  • 16. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data.
    Ahmed W; Vidal-Alaball J; Downing J; López Seguí F
    J Med Internet Res; 2020 May; 22(5):e19458. PubMed ID: 32352383
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.
    Abd-Alrazaq A; Alhuwail D; Househ M; Hamdi M; Shah Z
    J Med Internet Res; 2020 Apr; 22(4):e19016. PubMed ID: 32287039
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The evolving role of preprints in the dissemination of COVID-19 research and their impact on the science communication landscape.
    Fraser N; Brierley L; Dey G; Polka JK; Pálfy M; Nanni F; Coates JA
    PLoS Biol; 2021 Apr; 19(4):e3000959. PubMed ID: 33798194
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Saudi Ministry of Health's Twitter Communication Strategies and Public Engagement During the COVID-19 Pandemic: Content Analysis Study.
    Alhassan FM; AlDossary SA
    JMIR Public Health Surveill; 2021 Jul; 7(7):e27942. PubMed ID: 34117860
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis.
    Slavik CE; Buttle C; Sturrock SL; Darlington JC; Yiannakoulias N
    J Med Internet Res; 2021 Mar; 23(3):e24883. PubMed ID: 33651705
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.