The DOI matches its Crossref record.
Application of WeChat Public Account for Lifestyle Management of Polycystic Ovary Syndrome
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Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most of the included social media studies (n = 6) were published in 2023, and two were published in 2022.
“Most of the included studies (n = 6) were published in 2023 [68,69,71,72,73,74], and two were published in 2022 [70,75].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [74]
Followers of the WeChat public account 'Fan says women's health' appeared to maintain a healthier lifestyle in both dietary and physical activity assessments.
“Followers of the WeChat public account “Fan says women’s health” appeared to maintain a healthier lifestyle in both dietary and physical activity assessments [74].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [74]
Ten studies included information regarding the use of social media, and two other studies that mention social media were described in the overall context of mobile apps and machine learning.
“Ten studies included information regarding the use of social media [40,41,68,69,70,71,72,73,74,75]. Two other studies that mention social media were described in the overall context of mobile apps [60] and machine learning [76] (Supplementary File S3).”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [74]
Two studies from China used WeChat to provide lifestyle advice.
“Two studies from China used WeChat to provide lifestyle advice [74,75].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [74]
Citations
Cited by
Sorted by citations
Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review
Graca, S., Alloh, F., Lagojda, L., Dallaway, A., Kyrou, I., Randeva, H. S., & Kite, C. (2024) · Healthcare · doi:10.3390/healthcare12161671 · Cited by 14
Metadata
- Authors
- Zhang, F.-F., Qu, F., & Zhou, J.
- Affiliations
- Zhejiang Gongshang University (CN)
- Women's Hospital, School of Medicine, Zhejiang University (CN)
- Venue
- Journal of the College of Physicians and Surgeons Pakistan
- Published
- 2023-06-01
- Volume
- 33
- Issue
- 6
- Pages
- 715-715
- ISSN
- 1022-386X (ISSN-L)
- 1681-7168
- OpenAlex
- W4380225207
- Cited by
- 2
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- diamond
- dx.doi.org
- Locations
- Journal of College of Physicians And Surgeons Pakistan (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
- Social Sciences › Health › Social Media in Health Education
- Keywords
- WeChat public accounts, polycystic ovary syndrome, lifestyle management, health education, mobile health
- MeSH terms
- Female, Humans, Life Style, Polycystic Ovary Syndrome
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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