Evidence mapPaperPMID 35451986Full record

ArticleJMIR medical informatics2022

Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis.

Xuefei He, Cheng Peng, Yingxin Xu, Ye Zhang, Zhongqing Wang

Abstract read
In one paragraph

Article in JMIR medical informatics, 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. Article
  3. Article
  4. Data Privacy in Medical Informatics and Electronic Health Records: A Bibliometric Analysis.Health care analysis : HCA : journal of health philosophy and policy · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors.

Xuefei HeDepartment of Ophthalmology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China.ORCID https://orcid.org/0000-0002-9612-4301
Cheng PengDepartment of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-1849-3187
Yingxin XuInformation Center, The First Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-3099-3045
Ye ZhangInformation Center, The First Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0003-4157-8696
Zhongqing WangInformation Center, The First Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-5330-7538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the emerging information and communication technology, the field of medical informatics has dramatically evolved in health care and medicine. Thus, it is crucial to explore the global scientific research landscape on medical informatics.

objectiveThis study aims to present a visual form to clarify the overall scientific research trends of medical informatics in the past decade.

methodsA bibliometric analysis of data retrieved and extracted from the Web of Science Core Collection (WoSCC) database was performed to analyze global scientific research trends on medical informatics, including publication year, journals, authors, institutions, countries/regions, references, and keywords, from January 1, 2011, to December 31, 2020.

resultsThe data set recorded 34,742 articles related to medical informatics from WoSCC between 2011 and 2020. The annual global publications increased by 193.86% from 1987 in 2011 to 5839 in 2020. Journal of Medical Internet Research (3600 publications and 63,932 citations) was the most productive and most highly cited journal in the field of medical informatics. David W Bates (99 publications), Harvard University (1161 publications), and the United States (12,927 publications) were the most productive author, institution, and country, respectively. The co-occurrence cluster analysis of high-frequency author keywords formed 4 clusters: (1) artificial intelligence in health care and medicine; (2) mobile health; (3) implementation and evaluation of electronic health records; (4) medical informatics technology application in public health. COVID-19, which ranked third in 2020, was the emerging theme of medical informatics.

conclusionsWe summarize the recent advances in medical informatics in the past decade and shed light on their publication trends, influential journals, global collaboration patterns, basic knowledge, research hotspots, and theme evolution through bibliometric analysis and visualization maps. These findings will accurately and quickly grasp the research trends and provide valuable guidance for future medical informatics research.

Indexed as

bibliometricsdata visualizationmedical informaticsVOSviewer

Identifiers

PMID35451986
PMCPMC9073618

What Socratic 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 Socratic graph.