Evidence map›Paper›PMID 27161778›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2016

Social Media Interventions to Promote HIV Testing.

Joseph D Tucker, Bolin Cao, Haochu Li, Songyuan Tang, Weiming Tang, Ngai Sze Wong, Chongyi Wei

Abstract readLetterComment
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Enhancing Public Health Messaging: Discrete-Choice Experiment Evidence on the Design of HIV Testing Messages in China.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Article
  5. Article
  6. Article
  7. An Examination of Twitter Data to Identify Risky Sexual Practices Among Youth and Young Adults in Botswana.International journal of environmental research and public health · 2019
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Joseph D TuckerUniversity of North Carolina Project-China SESH Global.
Bolin CaoUniversity of North Carolina Project-China SESH Global Guangdong Provincial Centres for Skin Diseases and STI Control, Guangzhou.
Haochu LiUniversity of North Carolina Project-China SESH Global Department of Epidemiology, Shandong University School of Public Health, Jinan, China.
Songyuan TangUniversity of North Carolina Project-China SESH Global Guangdong Provincial Centres for Skin Diseases and STI Control, Guangzhou.
Weiming TangUniversity of North Carolina Project-China SESH Global Guangdong Provincial Centres for Skin Diseases and STI Control, Guangzhou.
Ngai Sze WongUniversity of North Carolina Project-China SESH Global.
Chongyi WeiSchool of Medicine, University of California, San Francisco.

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Spurring Innovation in HIV Testing and Linkage: A Crowdsourcing Approach -Diversity SupplementR01AI114310 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TUCKER, JOSEPH DAVID, WEI, CHONGYI · 2014 to 2018
$3.3M
UNC-South China STD Research Training CenterD43TW009532 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COHEN, MYRON SCOTT, TUCKER, JOSEPH DAVID · 2013 to 2017
$1.3M
FIC NIH HHS D43 TW009532NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI114310
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Homosexuality, MaleSocial MediaHIV InfectionsHumansMass Screening

Identifiers

PMID27161778
PMCPMC4928390

What OpenQuestion holds

Textmetadata
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.