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Effects of COVID-19 on College Students’ Mental Health in the United States: Interview Survey Study
J Med Internet Res 2020;22(9):e21279
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| 1503946 | 617 | 1702 | |
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The Impact of Social Media on Panic During the COVID-19 Pandemic in Iraqi Kurdistan: Online Questionnaire Study
J Med Internet Res 2020;22(5):e19556
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| 573374 | 10 | 434 | |
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What is e-health?
J Med Internet Res 2001;3(2):e20
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| 461625 | 59 | 1632 | |
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A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication
J Med Internet Res 2013;15(4):e85
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| 402497 | 602 | 1637 | |
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Social Media Use in the United States: Implications for Health Communication
J Med Internet Res 2009;11(4):e48
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| 311118 | 92 | 735 | |
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Investigating Mental Health of US College Students During the COVID-19 Pandemic: Cross-Sectional Survey Study
J Med Internet Res 2020;22(9):e22817
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| 310449 | 10 | 933 | |
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COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data
J Med Internet Res 2020;22(5):e19458
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| 281604 | 462 | 505 | |
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Self-Harm, Suicidal Behaviours, and Cyberbullying in Children and Young People: Systematic Review
J Med Internet Res 2018;20(4):e129
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| 252480 | 246 | 337 | |
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Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy
J Med Internet Res 2010;12(1):e4
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| 241312 | 55 | 1821 | |
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Dirt Cheap and Without Prescription: How Susceptible are Young US Consumers to Purchasing Drugs From Rogue Internet Pharmacies?
J Med Internet Res 2010;12(2):e11
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| 210082 | 1 | 55 | |
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An Integrated Brain-Machine Interface Platform With Thousands of Channels
J Med Internet Res 2019;21(10):e16194
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| 181147 | 451 | 635 | |
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Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies
J Med Internet Res 2017;19(11):e367
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| 155996 | 1592 | 1246 | |
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Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
J Med Internet Res 2011;13(4):e123
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| 154384 | 2544 | 762 | |
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Asphyxial Death by Ether Inhalation and Plastic-bag Suffocation Instructed by the Press and the Internet
J Med Internet Res 2002;4(3):e18
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| 151119 | 0 | 16 | |
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Design, Use, and Effects of Sex Dolls and Sex Robots: Scoping Review
J Med Internet Res 2020;22(7):e18551
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| 150921 | 114 | 82 | |
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What Is eHealth (3): A Systematic Review of Published Definitions
J Med Internet Res 2005;7(1):e1
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| 144138 | 90 | 530 | |
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Researching Mental Health Disorders in the Era of Social Media: Systematic Review
J Med Internet Res 2017;19(6):e228
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| 138997 | 28 | 184 | |
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Clinical Virtual Simulation in Nursing Education: Randomized Controlled Trial
J Med Internet Res 2019;21(3):e11529
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| 134358 | 27 | 292 | |
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Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness
J Med Internet Res 2008;10(3):e22
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| 133774 | 40 | 750 | |
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eHEALS: The eHealth Literacy Scale
J Med Internet Res 2006;8(4):e27
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| 133411 | 32 | 1551 | |
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Opportunities and Challenges of Cloud Computing to Improve Health Care Services
J Med Internet Res 2011;13(3):e67
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| 132417 | 14 | 326 | |
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Health-Related Effects Reported by Electronic Cigarette Users in Online Forums
J Med Internet Res 2013;15(4):e59
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| 131968 | 42 | 122 | |
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eHealth Literacy: Essential Skills for Consumer Health in a Networked World
J Med Internet Res 2006;8(2):e9
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| 129819 | 31 | 1463 | |
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Using the Technology Acceptance Model to Explore User Experience, Intent to Use, and Use Behavior of a Patient Portal Among Older Adults With Multiple Chronic Conditions: Descriptive Qualitative Study
J Med Internet Res 2019;21(4):e11604
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| 126913 | 7 | 196 | |
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Digital Inequality During a Pandemic: Quantitative Study of Differences in COVID-19–Related Internet Uses and Outcomes Among the General Population
J Med Internet Res 2020;22(8):e20073
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| 124153 | 52 | 133 | |