Evidence map›Paper›PMID 40906661›Full record

ArticlePloS one2025

The public's perceptions and attitudes of male nursing postgraduate professional identity on Chinese social media: Qualitative study based on machine learning.

Qi Zhou, Tao Zhou, Jing Huang, Yuling Lei, Guangxin Xu, Yuting Yang, Yanbing Shen, Yueli Zhu

Abstract read
In one paragraph

Article in PloS one, 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

8 authors.

Qi ZhouIntegrated Traditional and Western Medicine Hospital of Linping District, Hangzhou, China.
Tao ZhouThe Fourth Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Jing HuangWenzhou Medical University, Wenzhou, China.ORCID https://orcid.org/0000-0002-8070-9129
Yuling LeiSchool of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang Province, China.
Guangxin XuSchool of Medicine, Zhejiang University, Hangzhou, China.
Yuting YangThe Fourth Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Yanbing ShenIntegrated Traditional and Western Medicine Hospital of Linping District, Hangzhou, China.
Yueli ZhuIntegrated Traditional and Western Medicine Hospital of Linping District, Hangzhou, China.ORCID https://orcid.org/0009-0005-1867-4315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProfessional identity plays a critical role in the career development of male postgraduate nursing students, particularly in contexts where gender imbalance and social stereotypes persist.

objectiveThis study explores how the clinical professional identity of male nursing postgraduates is perceived and constructed through social media discourse in China.

designA qualitative study using content analysis of social media discourse, supported by sentiment classification and clustering algorithms.

methodsOnline comments related to male nursing postgraduates were extracted from Weibo and Zhihu. The data search was conducted from 2020 to 2023. This study was divided into five steps: data acquisition, data cleaning, statistical analysis, sentiment analysis, and topic analysis. Sentiment analysis was performed using a lexicon-enhanced rule-based model. Topic analysis was conducted using unsupervised machine learning.

resultsInitially, 7,483 comments were collected. After cleaning, 5,692 valid comments totaling 486,366 words were retained for analysis. The sentiment distribution showed 64.3% were negative, 21.5% neutral, and 14.2% positive. Topic modeling revealed six main themes: identity confusion, gender role conflict, lack of clinical recognition, professional value affirmation, social support, and resistance to stereotypes.

conclusionPublic discourse reflects both affirmation and marginalization of male postgraduate nurses in China. These perceptions shape their clinical professional identity and influence their sense of belonging and future career planning. Interventions in education and media strategies are necessary to promote inclusive and supportive identity development.

Indexed as

Machine LearningNurses, MaleSocial IdentificationSocial MediaStudents, NursingAdultAttitude of Health PersonnelChinaHumansMaleQualitative Research

Identifiers

PMID40906661
PMCPMC12410782

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.