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 *

138 related articles for article (PubMed ID: 34138587)

  • 21. Making daily decisions to work from home or to work in the office: The impacts of daily work- and COVID-related stressors on next-day work location.
    Shao Y; Fang Y; Wang M; Chang CD; Wang L
    J Appl Psychol; 2021 Jun; 106(6):825-838. PubMed ID: 34138589
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Understanding public perception of coronavirus disease 2019 (COVID-19) social distancing on Twitter.
    Saleh SN; Lehmann CU; McDonald SA; Basit MA; Medford RJ
    Infect Control Hosp Epidemiol; 2021 Feb; 42(2):131-138. PubMed ID: 32758315
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. 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]  

  • 25. Twitter discussions on breastfeeding during the COVID-19 pandemic.
    Jagarapu J; Diaz MI; Lehmann CU; Medford RJ
    Int Breastfeed J; 2023 Nov; 18(1):56. PubMed ID: 37925408
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis.
    Jang H; Rempel E; Roth D; Carenini G; Janjua NZ
    J Med Internet Res; 2021 Feb; 23(2):e25431. PubMed ID: 33497352
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Surveilling COVID-19 Emotional Contagion on Twitter by Sentiment Analysis.
    Crocamo C; Viviani M; Famiglini L; Bartoli F; Pasi G; Carrà G
    Eur Psychiatry; 2021 Feb; 64(1):e17. PubMed ID: 33531097
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders.
    Xia X; Zhang Y; Jiang W; Wu CY
    J Med Internet Res; 2023 Jul; 25():e45757. PubMed ID: 37486758
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study.
    Pollack CC; Gilbert-Diamond D; Alford-Teaster JA; Onega T
    J Med Internet Res; 2021 Jun; 23(6):e28648. PubMed ID: 34086591
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. Twitter sentiment analysis from Iran about COVID 19 vaccine.
    Bokaee Nezhad Z; Deihimi MA
    Diabetes Metab Syndr; 2022 Jan; 16(1):102367. PubMed ID: 34933273
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data.
    Gao Y; Xie Z; Li D
    JMIR Public Health Surveill; 2021 Jan; 7(1):e24859. PubMed ID: 33347422
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Emergency Physician Twitter Use in the COVID-19 Pandemic as a Potential Predictor of Impending Surge: Retrospective Observational Study.
    Margus C; Brown N; Hertelendy AJ; Safferman MR; Hart A; Ciottone GR
    J Med Internet Res; 2021 Jul; 23(7):e28615. PubMed ID: 34081612
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse.
    Sanders AC; White RC; Severson LS; Ma R; McQueen R; Alcântara Paulo HC; Zhang Y; Erickson JS; Bennett KP
    AMIA Jt Summits Transl Sci Proc; 2021; 2021():555-564. PubMed ID: 34457171
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts.
    Lindelöf G; Aledavood T; Keller B
    J Med Internet Res; 2023 Apr; 25():e41319. PubMed ID: 36877804
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Using Tweets to Understand How COVID-19-Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study.
    Wang H; Li Y; Hutch M; Naidech A; Luo Y
    J Med Internet Res; 2021 Feb; 23(2):e26302. PubMed ID: 33529155
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Public Sentiment and Discourse on Domestic Violence During the COVID-19 Pandemic in Australia: Analysis of Social Media Posts.
    Usher K; Durkin J; Martin S; Vanderslott S; Vindrola-Padros C; Usher L; Jackson D
    J Med Internet Res; 2021 Oct; 23(10):e29025. PubMed ID: 34519659
    [TBL] [Abstract][Full Text] [Related]  

  • 40. COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment-Based Topic Modeling.
    Huangfu L; Mo Y; Zhang P; Zeng DD; He S
    J Med Internet Res; 2022 Feb; 24(2):e31726. PubMed ID: 34783665
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.