Evidence map›Paper›PMID 35223603›Full record

ArticleIranian journal of public health2021

Twitter Research Synthesis for Health Promotion: A Bibliometric Analysis.

Syed Hamad Hassan Shah, Saleha Noor, Atif Saleem Butt, Habiba Halepoto

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Iranian journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Syed Hamad Hassan ShahSchool of Business, Nanjing University, Nanjing, China.
Saleha NoorSchool of Information Science and Engineering, East China University of Science and Technology, Shanghai, China.
Atif Saleem ButtAmerican University of Ras Al Khaimh, Ras Al Khaimah, United Arab Emirates.
Habiba HalepotoCollege of Information Science and Technology, Donghua University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study enriched our understanding by systematically reviewing knowledge management twitter health (KMTH) articles extracted from Web of Science (WoS) using cartography analysis through VOSviewer-for the last 11 years.

methodsA total of 798 KMTH articles were found from 2009 to 2019, analyzed based on the most cooccurrence keywords of KMTH articles.

resultsThree clusters emerged through cartography analysis; Cluster 1: Twitter as health education and health promotion platform; Cluster 2: Twitter as public health promotion platform and Cluster 3: Twitter as health sentiment platform through big data and machine learning.

conclusionThis study opened new avenues for all health care providers to utilize Twitter as a KM platform to promote health care. This is the first bibliometric analysis of KMTH publications according to our best knowledge.

Indexed as

Bibliometric analysisHealth promotionKnowledge managementTwitter

Identifiers

PMID35223603
PMCPMC8826333

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.