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Scientometric study of academic publications on antioxidative herbal medicines in type 2 diabetes mellitus

Overview of attention for article published in Journal of Diabetes & Metabolic Disorders, October 2016
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Title
Scientometric study of academic publications on antioxidative herbal medicines in type 2 diabetes mellitus
Published in
Journal of Diabetes & Metabolic Disorders, October 2016
DOI 10.1186/s40200-016-0273-3
Pubmed ID
Authors

Ozra Tabatabaei-Malazy, Amir Ramezani, Rasha Atlasi, Bagher Larijani, Mohammad Abdollahi

Abstract

Scientometric analysis is increasingly used for research assessment. We aimed to perform a scientometric analysis of research productivity in field of antioxidative hypoglycemic herbal medicine and diabetes. Some of search terms were "type 2 diabetes", "antioxidant", "herb", "phytotherapy", "ethnopharmacology", "Chinese medicine", "traditional medicine", in Scopus web databases until January 2015, and limited to human. The collected data were used to generate the specific features such as publication year, main journal in the field, citation, subject area, and co-authorship network of authors and institutes. Data was analyzed using analysis tools provided by Scopus database, SPSS version 11 and VOSviewer software. Overall, 468 studies were related to this topic in human. The number of publications in the field showed an increasing trend. Majority of the published papers were original articles (71 %) and the most productive year was 2013. Top subject areas were medicine followed by drug. The first productive country was the US. The documents were cited totally 10724 times with average citation/article 22.91, and h-index 55. The highest cited article was a systematic review study, and top source was "Journal of Ethnopharmacology". The highest international collaboration was with the US. Top authors and institutes in the co-authorship network assessment were from Iran. A promising scientific productivity is shown in the studied field world wide. This study provided practical information to researchers who look for studies with potentially highly citation, and also would be helpful for researchers to conduct better researches that eventually could lead to more publications in this field.

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Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 15%
Student > Ph. D. Student 10 12%
Researcher 8 10%
Librarian 5 6%
Other 5 6%
Other 21 26%
Unknown 21 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 10%
Medicine and Dentistry 8 10%
Social Sciences 7 9%
Agricultural and Biological Sciences 6 7%
Business, Management and Accounting 5 6%
Other 22 27%
Unknown 26 32%