BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 30896994)

  • 1. Malicious Actors on Twitter: A Guide for Public Health Researchers.
    Jamison AM; Broniatowski DA; Quinn SC
    Am J Public Health; 2019 May; 109(5):688-692. PubMed ID: 30896994
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate.
    Broniatowski DA; Jamison AM; Qi S; AlKulaib L; Chen T; Benton A; Quinn SC; Dredze M
    Am J Public Health; 2018 Oct; 108(10):1378-1384. PubMed ID: 30138075
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The spread of low-credibility content by social bots.
    Shao C; Ciampaglia GL; Varol O; Yang KC; Flammini A; Menczer F
    Nat Commun; 2018 Nov; 9(1):4787. PubMed ID: 30459415
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic.
    Weng Z; Lin A
    Int J Environ Res Public Health; 2022 Dec; 19(24):. PubMed ID: 36554258
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Collective Behavior of Social Bots Is Encoded in Their Temporal Twitter Activity.
    Duh A; Slak Rupnik M; Korošak D
    Big Data; 2018 Jun; 6(2):113-123. PubMed ID: 29924648
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Current Social Media Conversations about Genetics and Genomics in Health: A Twitter-Based Analysis.
    Allen CG; Andersen B; Khoury MJ; Roberts MC
    Public Health Genomics; 2018; 21(1-2):93-99. PubMed ID: 30466105
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Social media and flu: Media Twitter accounts as agenda setters.
    Yun GW; Morin D; Park S; Joa CY; Labbe B; Lim J; Lee S; Hyun D
    Int J Med Inform; 2016 Jul; 91():67-73. PubMed ID: 27185510
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The network of web 2.0 connections among state health departments: new pathways for dissemination.
    Harris JK
    J Public Health Manag Pract; 2013; 19(3):E20-4. PubMed ID: 23392206
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Limited Role of Bots in Spreading Vaccine-Critical Information Among Active Twitter Users in the United States: 2017-2019.
    Dunn AG; Surian D; Dalmazzo J; Rezazadegan D; Steffens M; Dyda A; Leask J; Coiera E; Dey A; Mandl KD
    Am J Public Health; 2020 Oct; 110(S3):S319-S325. PubMed ID: 33001719
    [No Abstract]   [Full Text] [Related]  

  • 10. Tobacco Use Behaviors, Attitudes, and Demographic Characteristics of Tobacco Opinion Leaders and Their Followers: Twitter Analysis.
    Chu KH; Majmundar A; Allem JP; Soto DW; Cruz TB; Unger JB
    J Med Internet Res; 2019 Jun; 21(6):e12676. PubMed ID: 31165716
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Who Are the Most Influential Emergency Physicians on Twitter?
    Riddell J; Brown A; Kovic I; Jauregui J
    West J Emerg Med; 2017 Feb; 18(2):281-287. PubMed ID: 28210365
    [TBL] [Abstract][Full Text] [Related]  

  • 12. How did Ebola information spread on twitter: broadcasting or viral spreading?
    Liang H; Fung IC; Tse ZTH; Yin J; Chan CH; Pechta LE; Smith BJ; Marquez-Lameda RD; Meltzer MI; Lubell KM; Fu KW
    BMC Public Health; 2019 Apr; 19(1):438. PubMed ID: 31023299
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic detection of influential actors in disinformation networks.
    Smith ST; Kao EK; Mackin ED; Shah DC; Simek O; Rubin DB
    Proc Natl Acad Sci U S A; 2021 Jan; 118(4):. PubMed ID: 33414276
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. How Twitter data sampling biases U.S. voter behavior characterizations.
    Yang KC; Hui PM; Menczer F
    PeerJ Comput Sci; 2022; 8():e1025. PubMed ID: 35875635
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Public Concern About Monitoring Twitter Users and Their Conversations to Recruit for Clinical Trials: Survey Study.
    Reuter K; Zhu Y; Angyan P; Le N; Merchant AA; Zimmer M
    J Med Internet Res; 2019 Oct; 21(10):e15455. PubMed ID: 31670698
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Social Bots' Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter.
    Shi W; Liu D; Yang J; Zhang J; Wen S; Su J
    Int J Environ Res Public Health; 2020 Nov; 17(22):. PubMed ID: 33238567
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Social Bots' Involvement in the COVID-19 Vaccine Discussions on Twitter.
    Zhang M; Qi X; Chen Z; Liu J
    Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162673
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Climate change on Twitter: Content, media ecology and information sharing behaviour.
    Veltri GA; Atanasova D
    Public Underst Sci; 2017 Aug; 26(6):721-737. PubMed ID: 26612869
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The Online Dissemination of Nature-Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to "Nature-Deficit Disorder".
    Palomino M; Taylor T; Göker A; Isaacs J; Warber S
    Int J Environ Res Public Health; 2016 Jan; 13(1):. PubMed ID: 26797628
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.