e.g. mhealth
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Skip search results from other journals and go to results- 3 JMIR Formative Research
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Likes captured the number of times users expressed approval of a post, and shares indicated how often a post was redistributed by users to others on the platform. To address outliers in these engagement metrics, we applied a log transformation to both likes and shares. This transformation helped normalize the distribution of the variables and reduced the influence of extreme values, ensuring a more robust analysis.
JMIR Form Res 2025;9:e67515
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The screening criteria were as follows: (1) a publicly published blog by an individual user, (2) the blog was posted between December 2019 and November 2020, and (3) the blog post included the keyword ‘‘stress.” All blog posts have been anonymized. A statistical analysis was performed, revealing 331,711 posts related to “stress.” Given the propensity of big data to yield false positives, these posts were split into two random samples using the random grouping function in SPSS (version 24.0; IBM Corp).
J Med Internet Res 2025;27:e63407
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If a post was identical in both text and hashtags and originated from the same account, only the first instance was included in the dataset to prevent overrepresentation. However, if a repost contained minor variations in wording or hashtag use, it was retained to capture potential differences in engagement strategies.
JMIR Form Res 2025;9:e63344
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For example, members may edit a post, add a comment, or respond to other posts at any time. Steps were therefore taken to maintain a detailed and time-stamped record of the data to be analyzed.
After identifying the data, images of the posts and related conversations were taken. It is important that the researcher carefully read the posts and related conversations to ensure that all comments are fully expanded and to redact any identifying participant information.
JMIR Form Res 2024;8:e54407
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Skin of Color Representation for Atopic Dermatitis on TikTok: Cross-Sectional Analysis
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JMIR Dermatol 2023;6:e48635
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