These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 34607223)

  • 1. Twitter discourse on nicotine as potential prophylactic or therapeutic for COVID-19.
    Kavuluru R; Noh J; Rose SW
    Int J Drug Policy; 2022 Jan; 99():103470. PubMed ID: 34607223
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Twitter Discourse on Nicotine as Potential Prophylactic or Therapeutic for COVID-19.
    Kavuluru R; Noh J; Rose SW
    medRxiv; 2021 Sep; ():. PubMed ID: 33442710
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Influence of Provaping "Gatewatchers" on the Dissemination of COVID-19 Misinformation on Twitter: Analysis of Twitter Discourse Regarding Nicotine and the COVID-19 Pandemic.
    Silver N; Kierstead E; Kostygina G; Tran H; Briggs J; Emery S; Schillo B
    J Med Internet Res; 2022 Sep; 24(9):e40331. PubMed ID: 36070451
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Vaping discussion in the COVID-19 pandemic: An observational study using Twitter data.
    Lyu JC; Luli GK; Ling PM
    PLoS One; 2021; 16(12):e0260290. PubMed ID: 34879077
    [TBL] [Abstract][Full Text] [Related]  

  • 6. E-Cigarette-Related Nicotine Misinformation on Social Media.
    Sidani JE; Hoffman BL; Colditz JB; Melcher E; Taneja SB; Shensa A; Primack B; Davis E; Chu KH
    Subst Use Misuse; 2022; 57(4):588-594. PubMed ID: 35068338
    [No Abstract]   [Full Text] [Related]  

  • 7. Twitter Misinformation Discourses About Vaping: Systematic Content Analysis.
    Al-Rawi A; Blackwell B; Zemenchik K; Lee K
    J Med Internet Res; 2023 Nov; 25():e49416. PubMed ID: 37948118
    [TBL] [Abstract][Full Text] [Related]  

  • 8. COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies.
    Muric G; Wu Y; Ferrara E
    JMIR Public Health Surveill; 2021 Nov; 7(11):e30642. PubMed ID: 34653016
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic.
    Sleigh J; Amann J; Schneider M; Vayena E
    BMC Public Health; 2021 Apr; 21(1):810. PubMed ID: 33906626
    [TBL] [Abstract][Full Text] [Related]  

  • 12. E-Cigarette Advocates on Twitter: Content Analysis of Vaping-Related Tweets.
    McCausland K; Maycock B; Leaver T; Wolf K; Freeman B; Jancey J
    JMIR Public Health Surveill; 2020 Oct; 6(4):e17543. PubMed ID: 33052130
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Misinformation about spinal manipulation and boosting immunity: an analysis of Twitter activity during the COVID-19 crisis.
    Kawchuk G; Hartvigsen J; Harsted S; Nim CG; Nyirö L
    Chiropr Man Therap; 2020 Jun; 28(1):34. PubMed ID: 32517803
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale.
    Chen E; Jiang J; Chang HH; Muric G; Ferrara E
    JMIR Infodemiology; 2022; 2(1):e32378. PubMed ID: 35190798
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Identifying #addiction concerns on twitter during the COVID-19 pandemic: A text mining analysis.
    Glowacki EM; Wilcox GB; Glowacki JB
    Subst Abus; 2021; 42(1):39-46. PubMed ID: 32970973
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis.
    Kwon J; Grady C; Feliciano JT; Fodeh SJ
    J Biomed Inform; 2020 Nov; 111():103601. PubMed ID: 33065264
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.