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 *

428 related articles for article (PubMed ID: 28428163)

  • 1. Public Response to Scientific Misconduct: Assessing Changes in Public Sentiment Toward the Stimulus-Triggered Acquisition of Pluripotency (STAP) Cell Case via Twitter.
    Gayle A; Shimaoka M
    JMIR Public Health Surveill; 2017 Apr; 3(2):e21. PubMed ID: 28428163
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Scientific Misconduct and Social Media: Role of Twitter in the Stimulus Triggered Acquisition of Pluripotency Cells Scandal.
    Sugawara Y; Tanimoto T; Miyagawa S; Murakami M; Tsuya A; Tanaka A; Kami M; Narimatsu H
    J Med Internet Res; 2017 Feb; 19(2):e57. PubMed ID: 28246071
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identifying Sentiment of Hookah-Related Posts on Twitter.
    Allem JP; Ramanujam J; Lerman K; Chu KH; Boley Cruz T; Unger JB
    JMIR Public Health Surveill; 2017 Oct; 3(4):e74. PubMed ID: 29046267
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople's Discussions: A Case Study of Lynch Syndrome.
    Bian J; Zhao Y; Salloum RG; Guo Y; Wang M; Prosperi M; Zhang H; Du X; Ramirez-Diaz LJ; He Z; Sun Y
    J Med Internet Res; 2017 Dec; 19(12):e414. PubMed ID: 29237586
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis.
    Dobbs PD; Boykin AA; Ezike N; Myers AJ; Colditz JB; Primack BA
    JMIR Form Res; 2023 Aug; 7():e50346. PubMed ID: 37651169
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study.
    Metwally O; Blumberg S; Ladabaum U; Sinha SR
    J Med Internet Res; 2017 Jun; 19(6):e200. PubMed ID: 28592395
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exploring discussions of health and risk and public sentiment in Massachusetts during COVID-19 pandemic mandate implementation: A Twitter analysis.
    Thorpe Huerta D; Hawkins JB; Brownstein JS; Hswen Y
    SSM Popul Health; 2021 Sep; 15():100851. PubMed ID: 34355055
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study.
    Sewalk KC; Tuli G; Hswen Y; Brownstein JS; Hawkins JB
    J Med Internet Res; 2018 Oct; 20(10):e10043. PubMed ID: 30314959
    [TBL] [Abstract][Full Text] [Related]  

  • 9. COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis.
    Naseem U; Razzak I; Khushi M; Eklund PW; Kim J
    IEEE Trans Comput Soc Syst; 2021 Aug; 8(4):1003-1015. PubMed ID: 35783149
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets.
    Vickey T; Breslin JG
    JMIR Public Health Surveill; 2017 Oct; 3(4):e82. PubMed ID: 29089294
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Public Opinions towards COVID-19 in California and New York on Twitter.
    Wang X; Zou C; Xie Z; Li D
    medRxiv; 2020 Jul; ():. PubMed ID: 32699856
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic.
    Mamidi R; Miller M; Banerjee T; Romine W; Sheth A
    JMIR Public Health Surveill; 2019 Jun; 5(2):e11036. PubMed ID: 31165711
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Leveraging Multiyear, Geospatial Social Media Data for Health Policy Evaluations: Lessons From the Philadelphia Beverage Tax.
    Ali SH; Lowery CM; Trude ACB
    J Public Health Manag Pract; 2023 Nov-Dec 01; 29(6):E253-E262. PubMed ID: 37467151
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.
    Boon-Itt S; Skunkan Y
    JMIR Public Health Surveill; 2020 Nov; 6(4):e21978. PubMed ID: 33108310
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sentiment Analysis of Health Care Tweets: Review of the Methods Used.
    Gohil S; Vuik S; Darzi A
    JMIR Public Health Surveill; 2018 Apr; 4(2):e43. PubMed ID: 29685871
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Public Response to Obamacare on Twitter.
    Davis MA; Zheng K; Liu Y; Levy H
    J Med Internet Res; 2017 May; 19(5):e167. PubMed ID: 28550002
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis.
    Turner J; Kantardzic M; Vickers-Smith R
    J Med Internet Res; 2021 Dec; 23(12):e27307. PubMed ID: 34932014
    [TBL] [Abstract][Full Text] [Related]  

  • 18. COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter.
    Karami A; Zhu M; Goldschmidt B; Boyajieff HR; Najafabadi MM
    Vaccines (Basel); 2021 Sep; 9(10):. PubMed ID: 34696167
    [TBL] [Abstract][Full Text] [Related]  

  • 19. "When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.
    Daniulaityte R; Chen L; Lamy FR; Carlson RG; Thirunarayan K; Sheth A
    JMIR Public Health Surveill; 2016 Oct; 2(2):e162. PubMed ID: 27777215
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Social Media Users' Perceptions of a Wearable Mixed Reality Headset During the COVID-19 Pandemic: Aspect-Based Sentiment Analysis.
    Jeong H; Bayro A; Umesh SP; Mamgain K; Lee M
    JMIR Serious Games; 2022 Aug; 10(3):e36850. PubMed ID: 35708916
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.