Evidence map›Paper›PMID 23617236›Full record

ArticleBMC medical informatics and decision making2013

Research collaboration in health management research communities.

Chichen Zhang, Qi Yu, Qinghua Fan, Zhiguang Duan

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Review
  10. The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research.International journal of environmental research and public health · 2018
    Article
  11. Article
  12. Article
  13. Global scientific collaboration in COPD research.International journal of chronic obstructive pulmonary disease · 2017
    Article
  14. Social network analysis of Iranian researchers in the field of violence.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2016
    Article
  15. Social network analysis on a topic-based navigation guidance system in a public health portal.Journal of the Association for Information Science and Technology · 2016
    Article
  16. Review
  17. Article
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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

4 authors.

Chichen ZhangSchool of Public Health, Shanxi Medical University, South Xinjian Road, Taiyuan, China.
Qi Yu
Qinghua Fan
Zhiguang Duan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study uses scientometrics methodology to reveal the status quo and emerging issues of collaboration in health management.

methodsWe searched all the articles with the keyword "health management" in the period 1999-2011 in Web of Knowledge, then 3067 articles were found. Methods such as Social network analysis (SNA), co-authorship, co-word analysis were used in this study.

resultsAnalysis of the past 13 years of research in the field of health management indicates that, whether the production of scientific research, or authors, institutions and scientific research collaboration at the national level, collaboration behavior has been growing steadily across all collaboration types. However, the international scientific research cooperation about health management study between countries needs to be further encouraged. 17 researchers can be seen as the academic leaders in this field. 37 research institutions play a vital role in the information dissemination and resources control in health management. The component analysis found that 22 research groups can be regarded as the backbone in this field. The 8 institution groups consisting of 33 institutions form the core of this field. USA, UK and Australia lie in the center by cohesive subgroup analysis; Based on keywords analysis, 44 keywords with high frequency such as care, disease, system and model were involved in the health management field.

conclusionsThis study demonstrates that although it is growing steadily, collaboration behavior about health management study needs to be enhanced, especially between different institutions or countries/regions, which would promote the progress and internationalization of health management. Besides, researchers should pay attention to the cooperation of representative scholars and institutions, as well as the hot areas of research, because their experience would help us promote the research development of our nation.

Indexed as

Community NetworksPatient Care ManagementAuthorshipHealth Services ResearchHumansSocial Support

Identifiers

PMID23617236
PMCPMC3640984

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.