Adopting a holistic review approach, this study started from the scientometric analysis by analyzing the mainstream journals, keywords, scholars, publications, and institutions active in the research of cement composites reinforced with graphene oxide (GO).
For example, if you are traveling to Africa and want a leather-bound, African-theme journal, enter keywords such as "blank leather African journal" to find links to vendors who are selling travel diaries that meet this criteria.
The study aims to analyze the distribution of languages, countries, institutes, journals, author keywords, authorship pattern and co-authorship relationships.
According to the 3697 publications from 1998 to 2016 in Science Citation Index Expended, this study was conducted from five major aspects, including basic growth trends analysis, countries/ territories and institutions analysis, categories and journals analysis, keywords analysis, and citation bursts detection.
On the other hand, journals use keyword lists more close to the traditional economics perspective of entrepreneurship, i.e. prior to the millennium and the growth phase of entrepreneurship as an autonomous field of research (Shane and Venkataraman 2000).
Existing disambiguation algorithms typically exploit metadata like first and middle names, co-authors, publication titles, topic keywords, journal names, and affiliations or email addresses (for an overview see [2]).
Table 1 Details of the literature referred Time period Search engines and journal database used Keywords 1990 2013 Google scholar Medical product Springer link Medical product development Science direct Medical device ASME Medical device development Inderscience Dental product Taylor and Francis Dental device Risk Risk management Risk mitigation Risk analysis.
To screen Korean journals, we used English keywords, because almost all journal titles (89 of 91 journals) were registered in English, or both English and Korean (in Roman letters) in the Scopus™ database.
Articles were obtained from the PubMed database and from the references of these articles and selected journals, using the keywords: "nutritional assessment", and "head and neck" and "cancer".
Bibliometric, social network analysis, and visualization technologies were used for analyzing translational medical research performance from the aspects of subject categories, journals, countries, institutes, keywords, and MeSH terms.
