Visualized analysis of trends and hotspots in global oral microbiome research: A bibliometric study.
Visualized analysis of trends and hotspots in global oral microbiome research: A bibliometric study.
复制标题
全球口腔微生物组研究趋势和热点的可视化分析:文献计量研究。
作者:
Liao G;Wu J;Peng X;Li Y;Tang L;Xu X;Deng D;Zhou X
The oral microbiome contains numerous bacteria, which directly or indirectly participate in various human functions and continuously exchange signals and substances with the human body, significantly affecting human life cycle, health, and disease. This study aimed to conduct bibliometric studies on the scientific outputs of global oral microbiome research by Citespace software. The data were obtained from the Thomson Reuters' Web of Science Core Collection (WoSCC), from the first relevant literature published until December 31st, 2019, and a total of 2225 articles and reviews were identified. The top country and institutions are the United States and Harvard University. Keywords analysis showed that periodontal disease, oral microbes, and dental plaque are research hotspots. The burst word analysis indicates that early childhood caries, squamous cell carcinoma, gut microbiome, Helicobacter pylori, Candida albicans, and dysbiosis are likely to become the research hotspots of the next era. We also recommend the use of knowledge mapping methods to track specific knowledge areas efficiently and objectively regularly, which can accurately identify hotspots and frontiers and provide valuable information for practitioners in the field, including related scientists, students, journals, and editors. This study aimed to study the scientific outputs of the global oral microbiome research. The data were obtained from the WoSCC, from the earliest literature to December 31st, 2019. Interesting insights are discovered, such as research hotspots and frontiers. We recommend using bibliometric methodology to dynamically monitor a specific field to achieve comprehensive understanding and trend on a regular basis.
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DOI:
10.1126/science.aan4526
发表时间:
2017-10-20
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Atarashi K;Suda W;Luo C;Kawaguchi T;Motoo I;Narushima S;Kiguchi Y;Yasuma K;Watanabe E;Tanoue T;Thaiss CA;Sato M;Toyooka K;Said HS;Yamagami H;Rice SA;Gevers D;Johnson RC;Segre JA;Chen K;Kolls JK;Elinav E;Morita H;Xavier RJ;Hattori M;Honda K
通讯作者:
Honda K
影响因子:
15.5
作者:
Fuks G;Elgart M;Amir A;Zeisel A;Turnbaugh PJ;Soen Y;Shental N
通讯作者:
Shental N
影响因子:
3.1
作者:
CHOI, BK;PASTER, BJ;GOBEL, UB
通讯作者:
GOBEL, UB
影响因子:
11
作者:
Dzidic, Majda;Collado, Maria C.;Mira, Alex
通讯作者:
Mira, Alex
DOI:
10.1073/pnas.0307513100
发表时间:
2004-04-06
影响因子:
11.1
作者:
Chen, CM
通讯作者:
Chen, CM