World scientific collaboration in coronary heart disease research☆
Introduction
Coronary heart disease (CHD) mortality has been continuously decreasing in many countries as a result of changes in risk factors and evidence based treatments over the past three decades [1], [2], [3], [4], [5].
Nevertheless, because of population aging and lifestyle changes, such as long work time, unhealthy nutrition habits, stress and lack of recreation, CHD will continue to exert a heavy burden for countries all over the world. According to the data from the WHO [6], cardiovascular diseases (CVDs) are the number one cause of death globally: more people die annually from CVDs than from any other causes. An estimated 17.3 million people died from CVDs in 2008, representing 30% of all global deaths. Of these deaths, an estimated 7.3 million were due to CHD.
This situation has always been a major issue of global concern, and has mounted a serious challenge for researchers in life sciences worldwide to prevent and control CHD and for governments to allocate funding to CHD research. However, no single individual can perform all of the specialist tasks with the increasing specialization and professionalization in biomedicine. Scientific collaboration becomes the only choice for progress in biomedicine because it allows sharing resources and promotes synergies to achieve the necessary critical mass of knowledge.
Unfortunately, few scientific publications about scientific collaboration in CHD research were reported. Our aim is therefore to examine collaboration behaviors across multiple collaboration types in the CHD research.
Section snippets
Materials
The documents which contain the word “coronary” in their title, abstract or keywords were collected from the scientific literature database, known as “Web of Science”. The scope was limited to the years 1981 through 2010. All documents regardless of type (e.g., article, meeting abstract, proceedings paper, review, editorial material, book review, letter, note, etc.) were processed. Only documents from the Science Citation Index Expanded (SCI-Expanded) were taken into account. The query yielded
Scientific productivity
There has been a substantial increase in the total number of papers in CHD research over the past three decades, as depicted in Fig. 1. Fig. 1 shows distribution of publications per year. The number of publications in CHD research remained approximately constant during the 1980s, then started to shoot upward since 1989. Overall, the number of papers has increased more than eightfold, from 2436 in 1981 to 20,741 in 2010.
Multi-author collaboration
Collaboration among scientists in CHD research has significantly grown over
Discussion
Collaborations have increased at the author, institution and country/region levels as supported by a number of studies [9], [13], [16], [17]. However, little attention is paid to the collaboration in the CHD research. The CHD research can be classified as high collaboration area at the author level, with 93% of publications all over the world multi-authored in 2010. However, the rate of the other two types of collaborations is relatively lower, especially international collaboration. Although
Study limitations
There are several limitations in our study. This study focuses mainly on the research collaboration behaviors among authors, institutions and countries/regions in CHD research. But how is the research collaboration related with the research quality of the authors? Does multi-national or multi-institutional collaboration result in higher citations? All of these need to be investigated in future study.
Conclusions
In conclusion, this study provides a global description of collaboration behaviors across multiple collaboration types in the CHD research. The data provided are informative for the scholars in this field as well as policy makers and administrators for managing and financing CHD research in the future.
References (17)
- et al.
The decline in coronary heart disease mortality is slowing in young adults (Australia 1976–2006): a time trend analysis
Int J Cardiol
(2012) - et al.
Did it fall or was it pushed? The contribution of trends in established risk factors to the decline in premature coronary heart disease mortality in New Zealand
Aust N Z J Public Health
(2008) - et al.
Analysing the large decline in coronary heart disease mortality in the Icelandic population aged 25–74 between the years 1981 and 2006
PLoS One
(2010) - et al.
Risk factor and treatment contributions to the coronary heart disease mortality decline in a low risk Mediterranean population: Spain 1988–2005
J Epidemiol Community Health
(2010) - et al.
Patterns of coronary heart disease mortality over the 20th century in England and Wales: possible plateaus in the rate of decline
BMC Public Health
(2008) Cardiovascular diseases (CVDs)
- et al.
Studying research collaboration using co-authorships
Scientometrics
(1996) Bibliometric studies of research collaboration — a review
J Inf Sci
(1983)
Cited by (32)
Bibliometric analysis of publications discussing the use of the artificial intelligence technique agent-based models in sustainable agriculture
2022, HeliyonCitation Excerpt :Social Network Analysis (SNA) was used for collaboration networks. This is a method of structural analysis to describe and measure relationships and information between individuals, this method has been useful in studies on scientific collaboration networks [68, 69, 70, 71]. SNA employs several major indicators like betweenness centrality and closeness centrality.
Worldwide production on sleep apnea from 2009–2018. Analysis of the ability to secure funding and international collaboration networks
2021, Respiratory MedicineCitation Excerpt :This shows a progressive increase in the international collaboration rate, not only throughout the period evaluated but also from 1991 to 2012, in which it was 12.7% [18]. Although the comparison with other thematic areas is complex, it may be interesting to consider that the international collaboration in obesity research during the 1999–2017 period was 14.9% [34] and reached 16% in coronary heart disease [35]. The importance of this factor has been amply confirmed by previous studies, demonstrating that collaboration among different countries increases the visibility and impact of research [36–38].
Discovering Booming Bio-entities and Their Relationship with Funds
2021, Data and Information ManagementCitation Excerpt :Diseases such as myocardial infarction, asthma, and coronary heart disease are also caused by an interaction of genetic and environmental factors. Among them, cardiovascular diseases such as myocardial infarction and coronary heart disease continue to be the leading causes of adult mortality in both developed and developing countries (Yu, Shao, He, & Duan, 2013). Acute myelogenous leukemia, cystic fibrosis, type I diabetes, and malignant colonic tumors are diseases that are (partially) caused by inheritance (Greenbaum, Lord, & VanBuecken, 2017; Hüneburg et al., 2009).
Retrospective and prospective of the hydrogen supply chain: A longitudinal techno-historical analysis
2020, International Journal of Hydrogen EnergyCitation Excerpt :This network and its evolution over time can be used to identify major countries conducting collaborative research and how such collaborations formed and evolved across the discipline growth over time. Prior research on countries collaboration networks has been applied to different fields such as simulation-optimization of supply chains [28], library and information science [29], coronary heart disease [30], e-government [31], polymer chemistry [25], carbon capture and storage [24], and renewables [21,32]. This study examines two networks namely countries collaboration network and keywords co-occurrence network (countries network and keywords network for short).
Network-based assessment of collaborative research in neuroscience
2018, Alzheimer's and Dementia: Translational Research and Clinical InterventionsCitation Excerpt :SNA has been applied to document productivity and viability of research teams' collaborative interactions over time, including prediction of interdisciplinary collaboration formation [3,34,35] and cooperative structures and interactions among network members [36–38]. Despite increased SNA investigations into research networks in medical and translational research [3,10,11,34–36,39–43], there are few SNA investigations into collaborative research specifically in neuroscience. Thus, there is relatively little information as to how scientists working in translational neuroscience may form collaborative partnerships that are indicative of successful team science.
- ☆
Grant support: The research reported in this paper was done as part of the ‘Cooperation Analysis of Technology Innovation Team Member Based on Knowledge Network—Empirical Evidence in the Biology and Biomedicine Field’ (No. 71103114), supported by National Natural Science Foundation of China. And it was also supported by Program for New Century Excellent Talents in University (NCET-08-0887).
- 1
This author takes responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation.