Visualization studies on evidence‐based medicine domain knowledge (series 2): structural diagrams of author networks

Shen, Jiantong; Luo, Yao; Li, Y; Clarke, Mike; Gan, Qihong; Fan, Yi; Gou, Yunjiu; Zhong, Danni; Wang, Li

doi:10.1111/j.1756-5391.2011.01127.x

Cited by 4 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Numerous studies have already conducted SNA and co-authorship network in medicine. 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 However, it seems that few studies have been done in the field of violence particularly in Iran.…”

Section: Introductionmentioning

confidence: 99%

Social network analysis of Iranian researchers in the field of violence

Salamati

Soheili

2016

Chinese Journal of Traumatology

View full text Add to dashboard Cite

PurposeThe social network analysis (SNA) is a paradigm for analyzing structural patterns in social relations, testing knowledge sharing process and identifying bottlenecks of information flow. The purpose of this study was to determine the status of research in the field of violence in Iran using SNA.MethodsResearch population included all the papers with at least one Iranian affiliation published in violence field indexed in SCIE, PubMed and Scopus databases. The co-word maps, co-authorship network and structural holes were drawn using related software. In the next step, the active authors and some measures of our network including degree centrality (DC), closeness, eigenvector, betweeness, density, diameter, compactness and size of the main component were assessed. Likewise, the trend of the published articles was evaluated based on the number of documents and their citations from 1972 to 2014.ResultsFive hundred and seventy one records were obtained. The five main clusters and hot spots were mental health, violence, war, psychiatric disorders and suicide. The co-authorship network was complex, tangled and scale free. The top nine authors with cut point role and top ten active authors were identified. The mean (standard deviation) of normalized DC, closeness, eigenvector and betweeness were 0.449 (0.805), 0.609 (0.214), 2.373 (7.353) and 0.338 (1.122), respectively. The density, diameter and mean compactness of our co-authorship network were 0.0494, 3.955 and 0.125, respectively. The main component consisted of 216 nodes that formed 17% of total size of the network. Both the number of the documents and their citations has increased in the field of violence in the recent years.ConclusionAlthough the number of the documents has recently increased in the field of violence, the information flow is slow and there are not many relations among the authors in the network. However, the active authors have ability to influence the flow of knowledge within the network.

show abstract

Section: Introductionmentioning

confidence: 99%

Social network analysis of Iranian researchers in the field of violence

Salamati

Soheili

2016

Chinese Journal of Traumatology

View full text Add to dashboard Cite

show abstract

Mapping of diseases from clinical medicine research—a visualization study

et al. 2020

Self Cite

View full text Add to dashboard Cite

By employing bibliometric method, this study aimed to visualize the research hotspots and correlations among clinical medicine subjects. Literatures were retrieved from the PubMed database based on MeSH words and free-text phrases and screened based on inclusion and exclusion criteria. The disease themes were manually marked according to ICD-10. Co-word analysis and strategic diagram methods were applied to explore the hot topics and development trends of disease themes. 2551 articles were included after literature screening. The amount of paper showed an increasing trend and reached a peak in 2013. The subjects of adults and the elderly accounted for 45.0% and 27.0% respectively. The United States of America had the most publication, with Massachusetts and California being the most prevalent states, and Harvard University was the most prolific institution. Co-word analysis revealed that research hot topics of diseases were divided into 8 themes, among which the most was “disease of the circulatory system” and “injury, poisoning and certain other consequences of external causes”. The strategic diagram showed that the above two topics were mature but relatively independent, while the “physical fitness” topic was not mature enough but was closely related to the others. There are more and more data-driven studies in the field of medicine and health, while, huge development spaces in the full spectrum of the diseases do exist. Mining the published researches through bibliometrics and visualized methods could come up with valuable results to inform further study.

show abstract

Visual topical analysis of Chinese and American Library and Information Science research institutions

Luo

2014

Journal of Informetrics

View full text Add to dashboard Cite

Visualization studies on evidence‐based medicine domain knowledge (series 2): structural diagrams of author networks

Cited by 4 publications

References 12 publications

Social network analysis of Iranian researchers in the field of violence

Social network analysis of Iranian researchers in the field of violence

Mapping of diseases from clinical medicine research—a visualization study

Visual topical analysis of Chinese and American Library and Information Science research institutions

Contact Info

Product

Resources

About