Evidence map›Paper›PMID 36408016›Full record

ArticleFrontiers in public health2022

Social network and HIV/AIDS: A bibliometric analysis of global literature.

Linh Phuong Doan, Long Hoang Nguyen, Pascal Auquier, Laurent Boyer, Guillaume Fond, Hien Thu Nguyen, Carl A Latkin, Giang Thu Vu, Brian J Hall, Cyrus S H Ho and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Global trends in artificial intelligence applications for gastric cancer prediction, treatment, and management: a topic modeling and bibliometric analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

11 authors.

Linh Phuong DoanInstitute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam.
Long Hoang NguyenDepartment of Global Public Health, Karolinska Institute, Stockholm, Sweden.
Pascal AuquierResearch Center on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Laurent BoyerResearch Center on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Guillaume FondResearch Center on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Hien Thu NguyenInstitute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam.
Carl A LatkinBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Giang Thu VuCenter of Excellence in Health Services and System Research, Nguyen Tat Thanh University, Ho Chi Minh, Vietnam.
Brian J HallSchool of Global Public Health, New York University, New York, NY, United States.
Cyrus S H HoDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Roger C M HoDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social networks (SN) shape HIV risk behaviors and transmission. This study was performed to quantify research development, patterns, and trends in the use of SN in the field of HIV/AIDS, and used Global publications extracted from the Web of Science Core Collection database. Networks of countries, research disciplines, and most frequently used terms were visualized. The Latent Dirichlet Allocation method was used for topic modeling. A linear regression model was utilized to identify the trend of research development. During the period 1991-2019, in a total of 5,698 publications, topics with the highest volume of publications consisted of (1) mental disorders (16.1%); (2) HIV/sexually transmitted infections prevalence in key populations (9.9%); and (3) HIV-related stigma (9.3%). Discrepancies in the geographical distribution of publications were also observed. This study highlighted (1) the rapid growth of publications on a wide range of topics regarding SN in the field of HIV/AIDS, and (2) the importance of SN in HIV prevention, treatment, and care. The findings of this study suggest the need for interventions using SN and the improvement of research capacity

Indexed as

BibliometricsHIV InfectionsDatabases, FactualHumansSocial NetworkingSocial StigmabibliometricHIVLatent Dirichlet Allocationsocial networktopic modeling

Identifiers

PMID36408016
PMCPMC9666395

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.