| Literature DB >> 25368536 |
Dong-Dong Liu1, Sheng-Lin Liu1, Jia-Hua Zhang1.
Abstract
Biomedical engineering has been one of the hottest fields in biology and engineering. As an important branch, the medical device has achieved significant progress in the past decades. As a useful method in evaluative bibliometrics, mapping knowledge has been used to explore the trend of one field. In the present study, we retrieve literatures about the medical device from the Web of Science™ (2004-2013), and acquire 26,793 related records, then analyze time range, region distribution, and main research directions of the literatures, and try to use keywords combined with mapping knowledge to explore the main trends of the medical device, and then aim to provide more information for medical device research. Through the study, we discover: 1) the publications regarding medical devices show an upward trend over the past decade in general; 2) the percentage of publications in the USA (38.49%) is the highest all over the world; 3) engineering (20.64%) is the hottest research direction, and takes up about one-fifth of the total publications; 4) the Journal of the American Medical Association and The New England Journal of Medicine are among the two journals that are the most highly cited, followed by Science and The Lancet; and 5) keywords of the medical device include in vitro, quality-of-life, outcomes, management, mortality, depression, and so on. With the help of mapping knowledge, we dig out some hot topics of medical devices and provide more information through trend analysis, and we discover that our findings are related to previous research and further research can enlarge the number of records and optimize the algorithm. We provide a systematic approach for researchers to keep abreast of the development and state of the research of medical devices.Entities:
Keywords: CiteSpace; hotspot; medical device; visualization analysis
Year: 2014 PMID: 25368536 PMCID: PMC4216033 DOI: 10.2147/MDER.S69685
Source DB: PubMed Journal: Med Devices (Auckl) ISSN: 1179-1470
Figure 1The number of publications per year, 2004–2013.
Figure 2The percentage of publications by country, 2004–2013.
The top 10 research directions of the medical device, 2004–2013
| Research direction | Number | % of 26,793 |
|---|---|---|
| Engineering | 5,530 | 20.64 |
| Computer science | 1,987 | 7.416 |
| General internal medicine | 1,915 | 7.147 |
| Surgery | 1,869 | 6.976 |
| Materials science | 1,817 | 6.782 |
| Cardiovascular system cardiology | 1,806 | 6.741 |
| Health care sciences services | 1,688 | 6.3 |
| Physics | 1,401 | 5.229 |
| Radiology nuclear medicine medical imaging | 1,310 | 4.889 |
| Public environmental occupational health | 1,191 | 4.445 |
Figure 3A network of co-journal medical device papers (2004–2013, one-year slices).
Abbreviations: Am J Cardiol, American Journal of Cardiology; Am J Med, The American Journal of Medicine; Anal Chem, Analytical Chemistry; Ann Intern Med, Annals of Internal Medicine; Arch Intern Med, Archives of Internal Medicine; Brit Med J, British Medical Journal; Crit Care Med, Critical Care Medicine; JAMA-J Am Med Assoc, The Journal of the American Medical Association; J Am Chem Soc, Journal of the American Chemical Society; J Am Coll Cardiol, Journal of the American College of Cardiology; J Biomed Mater Res, Journal of Biomedical Materials Research; J Clin Epidemiol, The Journal of Clinical Epidemiology; Med Care, Medical Care; New Engl J Med, The New England Journal of Medicine; P Natl Acad Sci USA, Proceedings of the National Academy of Sciences USA.
Figure 4A network of co-words of medical device papers (2004–2013, one-year slices).
Figure 5A network of engineering field co-words from medical device papers (2004–2013, one-year slices).
The top 20 subject terms from EndNote
| Terms | Records |
|---|---|
| Quality-of-life (including quality of life) | 239 |
| Care | 115 |
| Outcomes | 115 |
| Management | 112 |
| In vitro | 111 |
| Biomaterials | 107 |
| System | 103 |
| Reliability | 103 |
| Surgery | 101 |
| Validity | 92 |
| Mortality | 89 |
| Depression | 88 |
| Therapy | 83 |
| Performance | 85 |
| Validation | 83 |
| Prevalence | 81 |
| Disease | 77 |
| Devices | 76 |
| Complications | 71 |
| Questionnaire | 69 |