Evidence map›Paper›PMID 33032598›Full record

ArticleBMC medical informatics and decision making2020

Exploring emerging IoT technologies in smart health research: a knowledge graph analysis.

Xuejie Yang, Xiaoyu Wang, Xingguo Li, Dongxiao Gu, Changyong Liang, Kang Li, Gongrang Zhang, Jinhong Zhong

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Bibliometric Analysis of Health Technology Research: 1990~2020.International journal of environmental research and public health · 2022
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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

8 authors.

Xuejie YangThe School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, Anhui, China.
Xiaoyu WangThe 1st Affiliated Hospital, Anhui University of Traditional Chinese Medicine, 117 Meishan Road, Hefei, 230031, Anhui, China. mikehfut0551@163.com.ORCID 0000-0003-2085-2924
Xingguo LiThe School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, Anhui, China.
Dongxiao GuThe School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, Anhui, China.
Changyong LiangThe School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, Anhui, China.
Kang LiThe School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, Anhui, China.
Gongrang ZhangThe School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, Anhui, China.
Jinhong ZhongThe School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, Anhui, China.

Funding

Fundamental Research Funds for the Central Universities PA2020GDKC0020National Natural Science Foundation of China 71771075National Natural Science Foundation of China 71771077National Natural Science Foundation of China 72071063
6 · The paper itself

Abstract

backgroundAt present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas.

methodsWe use the core collection of Web of Science as a data source, using tools such as CiteSpace and bibliometric methods to visually analyze 9561 articles published in the field of smart health research based on the Internet of things (IoT) in 2003-2019, including time distribution, spatial distribution, and literature co-citation analysis and keyword analysis.

resultsThe field of smart health research based on IoT has developed rapidly since 2014, but has not yet formed a stable network of authors and institutions. In addition, the knowledge base in this field has been initially formed, and most of the published literatures are multi-theme research.

conclusionsThis study discusses the research status, research hotspots and future development trends in this field, and provides important knowledge support for subsequent research.

Indexed as

BibliometricsInternet of ThingsPattern Recognition, AutomatedPublicationsHumansKnowledgeResearchBibliometricsDiseaseHealthInternet of thingsVisual analysis

Identifiers

PMID33032598
PMCPMC7545882

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.