Evidence map›Paper›PMID 39832357›Full record

Observational studyJournal of medical Internet research2025

Analysis of "Dr Ding Xiang" on WeChat in China to Determine Factors Influencing Readership on Medical Social Media: Observational Study.

Jiaman Liao, Xueliang Huang, Hao Huang, Cuina Shen, Lixia Li, Yushao Li, Yiqiang Zhan

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiaman LiaoNanlian Community Health Service Center, Shenzhen Longgang Central Hospital, Shenzhen, China.ORCID https://orcid.org/0009-0005-5078-2156
Xueliang HuangNanlian Community Health Service Center, Shenzhen Longgang Central Hospital, Shenzhen, China.ORCID https://orcid.org/0009-0002-9393-6707
Hao HuangNanlian Community Health Service Center, Shenzhen Longgang Central Hospital, Shenzhen, China.ORCID https://orcid.org/0009-0004-4934-5285
Cuina ShenNanlian Community Health Service Center, Shenzhen Longgang Central Hospital, Shenzhen, China.ORCID https://orcid.org/0009-0008-2567-5596
Lixia LiNanlian Community Health Service Center, Shenzhen Longgang Central Hospital, Shenzhen, China.ORCID https://orcid.org/0009-0005-9258-8319
Yushao LiNanlian Community Health Service Center, Shenzhen Longgang Central Hospital, Shenzhen, China.ORCID https://orcid.org/0009-0006-8938-6123
Yiqiang ZhanDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Shenzhen, China.ORCID https://orcid.org/0000-0001-6016-5665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rapid expansion of social media platforms, the demand for health information has increased substantially, leading to innovative approaches and new opportunities in health education.

objectiveThis study aims to analyze the characteristics of articles published on the "Dr Ding Xiang" WeChat official account (WOA), one of the most popular institutional accounts on the WeChat platform, to identify factors influencing readership engagement and to propose strategies for enhancing the effectiveness of health information dissemination.

methodsA total of 5286 articles published on the "Dr Ding Xiang" WOA from January 2021 to December 2021 were collected and analyzed. Additionally, a random sample of 324 articles was selected for detailed text analysis. Univariate analysis was conducted using the chi-square test, and multivariate analysis was performed using multivariable logistic regression.

resultsIn 2021, the total number of reads for "Dr Ding Xiang" articles reached 323,479,841, with an average of 61,196 reads per article. Articles exceeding 100,000 reads accounted for 33.90% of the total. Most articles were published during the time slots of 8:00-10:00 AM, 11:30 AM to 1:30 PM, and 8:30-10:30 PM. Analysis indicated that the order of publication, style of the title sentence, number of likes, number of in-views, total likes on comments, and number of replies to comments were significantly associated with an article's number of reads. Text analysis further revealed that the article's reasoning approaches and concluding methods also had a significant impact on readership.

conclusionsTo enhance readership and the effectiveness of health communication, health-focused WOAs should consider key factors such as optimal publication timing, engaging title design, and effective content structuring. Attention to these elements can improve user engagement and support the broader dissemination of health information.

Indexed as

Information DisseminationSocial MediaChinaHumansPlant ExtractsSyzygiumclove flower extractPlant ExtractsDr Ding Xianghealth communicationinformation disseminationreadership analysisWeChat Official Accounts

Identifiers

PMID39832357
PMCPMC11791452

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.