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Cutaneous Bacteria in the Gut Microbiome as Biomarkers of Systemic Malodor and People Are Allergic to Me (PATM) Conditions: Insights From a Virtually Conducted Clinical Trial
JMIR Dermatol 2020;3(1):e10508
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| 14291 | 24 | 1 | |
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Development of Smartphone Apps for Skin Cancer Risk Assessment: Progress and Promise
JMIR Dermatol 2019;2(1):e13376
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| 11016 | 18 | 33 | |
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Tetrahydrocannabinol and Skin Cancer: Analysis of YouTube Videos
JMIR Dermatol 2021;4(1):e26564
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| 6701 | 1 | 4 | |
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Public Interest in a Potentially Harmful, Non–Evidence-Based “Wellness” Practice: Cross-Sectional Analysis of Perineum Sunning
JMIR Dermatol 2021;4(1):e24124
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| 5645 | 109 | 2 | |
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Skin and Wound Map From 23,453 Nursing Home Resident Records: Relative Prevalence Study
JMIR Dermatol 2018;1(2):e11875
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| 4906 | 10 | 3 | |
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Consumer Preference of Products for the Prevention and Treatment of Stretch Marks: Systematic Product Search
JMIR Dermatol 2020;3(1):e18295
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| 4615 | 1 | 4 | |
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Development of an Innovative Real-World Evidence Registry for the Herpes Simplex Virus: Case Study
JMIR Dermatol 2020;3(1):e16933
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| 3635 | 1 | 3 | |
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Global Burden of Skin Disease Representation in the Literature: Bibliometric Analysis
JMIR Dermatol 2021;4(2):e29282
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| 3615 | 5 | 3 | |
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Skin Lesion Classification With Deep Convolutional Neural Network: Process Development and Validation
JMIR Dermatol 2020;3(1):e18438
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| 3375 | 7 | 11 | |
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Does Wearing a Face Mask During the COVID-19 Pandemic Increase the Incidence of Dermatological Conditions in Health Care Workers? Narrative Literature Review
JMIR Dermatol 2021;4(1):e22789
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| 3347 | 13 | 10 | |
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Assessing Sunscreen Protection Using UV Photography: Descriptive Study
JMIR Dermatol 2021;4(1):e24653
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| 3193 | 2 | 0 | |
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Risks and Benefits of Using Social Media in Dermatology: Cross-sectional Questionnaire Study
JMIR Dermatol 2021;4(1):e24737
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| 2947 | 7 | 10 | |
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Evaluating the Public's Interest in Testicle Tanning: Observational Study
JMIR Dermatol 2022;5(3):e39766
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| 2781 | 17 | 1 | |
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Evaluating Web-Based Platforms and Traditional Methods for Recruiting Tattoo Artists: Descriptive Survey Research Study
JMIR Dermatol 2019;2(1):e14151
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| 2365 | 4 | 3 | |
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Understanding Social Media Use and Engagement Among Dermatology Patients to Inform Dermatological Prevention and Care in Vietnam: Cross-sectional Study
JMIR Dermatol 2020;3(1):e13424
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| 2191 | 2 | 3 | |
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Identifying and Responding to Health Misinformation on Reddit Dermatology Forums With Artificially Intelligent Bots Using Natural Language Processing: Design and Evaluation Study
JMIR Dermatol 2021;4(2):e20975
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| 1987 | 44 | 5 | |
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College Students’ Attitudes and Behaviors Related to Sun Safety and Appearance in Relation to Health Information-Seeking Behavior and Social Media Use: Cross-Sectional Study
JMIR Dermatol 2018;1(2):e10984
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| 1960 | 2 | 0 | |
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The Reach of the “Don’t Fry Day” Twitter Campaign: Content Analysis
JMIR Dermatol 2019;2(1):e14137
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| 1956 | 9 | 7 | |
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Evaluation of Spin in the Abstracts of Systematic Reviews and Meta-Analyses Focused on the Treatment of Acne Vulgaris: Cross-Sectional Analysis
JMIR Dermatol 2020;3(1):e16978
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| 1952 | 6 | 22 | |
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LesionMap: A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning
JMIR Dermatol 2020;3(1):e18149
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| 1949 | 6 | 4 | |
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Gamification and Game-Based Strategies for Dermatology Education: Narrative Review
JMIR Dermatol 2021;4(2):e30325
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| 1945 | 5 | 12 | |
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Hell’s Itch: A Unique Reaction to UV Exposure
JMIR Dermatol 2023;6(1):e48669
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| 1914 | 5 | 0 | |
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From the Cochrane Library: Topical Treatments for Cutaneous Warts
JMIR Dermatol 2021;4(2):e33900
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| 1849 | 7 | 1 | |
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The Feasibility and Acceptability of Using a Wearable UV Radiation Exposure Monitoring Device in Adults and Children: Cross-Sectional Questionnaire Study
JMIR Dermatol 2020;3(1):e15711
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| 1761 | 5 | 5 | |
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Google Trends in Dermatology: Scoping Review of the Literature
JMIR Dermatol 2021;4(1):e27712
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| 1745 | 1 | 4 | |