Global trends of Pseudomonas aeruginosa biofilm research in the past two decades: A bibliometric study.
Yuanyuan ZhuJiao Jiao LiJian RengSiyang WangRuiqing ZhangBin WangPublished in: MicrobiologyOpen (2020)
Pseudomonas aeruginosa biofilm formation is a primary cause of chronic infections. This has been a highly active area of research over the past two decades due to causing high mortality risks in immunocompromised patients. This study evaluates global trends in the dynamic and rapidly evolving field of P. aeruginosa biofilm research through bibliometric and visualized analyses. Publications from 1994 to 2018 on P. aeruginosa biofilm research were retrieved from Web of Science, Scopus, and PubMed, and their bibliometric data were systematically studied. The VOSviewer software was used to conduct global analyses of bibliographic coupling, coauthorship, cocitation, and co-occurrence. A total of 9,527 publications were included in this study. The overall number of publications and research interest in the field displayed a strongly rising trend. The USA made the greatest contributions to the field, with the highest h-index and number of citations compared with other countries, while Denmark had the highest average citation per publication. The Journal of Bacteriology had the highest number of publications in the field, while the University of Copenhagen was the institution with the highest contribution influence. Co-occurrence network maps revealed that the most prominent topics in P. aeruginosa biofilm research were mechanistic studies, in vitro/in vivo studies, and biofilm formation studies. Pseudomonas aeruginosa biofilms constitute a dynamic research area in microbiology with increasing global research interest. Future studies will likely focus on investigating the mechanisms of biofilm formation to solve infection-associated clinical problems.
Keyphrases
- biofilm formation
- pseudomonas aeruginosa
- candida albicans
- staphylococcus aureus
- cystic fibrosis
- escherichia coli
- acinetobacter baumannii
- end stage renal disease
- cardiovascular disease
- type diabetes
- ejection fraction
- peritoneal dialysis
- mental health
- risk factors
- cardiovascular events
- electronic health record
- machine learning
- big data
- climate change
- drug resistant
- patient reported
- solid state
- current status