The landscape of microbiota research in Iran; a bibliometric and network analysis

J Diabetes Metab Disord. 2020 Jan 15;19(1):163-177. doi: 10.1007/s40200-020-00488-2. eCollection 2020 Jun.

Abstract

Objectives: To introduce bibliometric features of Iranian documents on microbiota and to provide descriptive information about retrieved documents related to the medical sciences and documents utilizing molecular techniques for microbiota detection.

Methods: This is a descriptive bibliometric study of all Iranian documents on microbiota in any language that were indexed in Scopus before 7 September 2019. We assessed the research performance through statistical analysis of the bibliometric indicators, including number of publications, citations, institutions and journals activities, co-citations and bibliographic couplings, and network analysis of co-authorships, countries' collaborations, terms and keywords.

Results: We extracted 425 relevant documents, 260 of which pertain to the medical sciences. The most focused microbiota modulating interventions and diseases in 33 clinical trials are 'synbiotics' (n = 8) and 'probiotics' (n = 8), and 'Obesity' (n = 3) and 'non-alcoholic fatty liver disease' (n = 3), respectively. During the last decade, Iranian microbiota publications have increasingly grown with a constant upward slope, particularly in the area of medical sciences after 2016. Citation counting reveals that originals and reviews have been cited 4221 times, with an average 10.76 citations and H-index of 34. The most significant performance in publishing Iranian microbiota documents belongs to 'Tehran University of Medical Sciences' as the active institution (n = 89 publications) and the supporting sponsor (n = 19), 'Microbial Pathogenesis' as the productive journal (n = 12), 'Seidavi A' as the most authorships (n = 19), and 'the United States' as the collaborative country (n = 46).

Conclusions: The qualitative and quantitative information of this study will be a practical guidance for future study planning and policy-decision making.

Keywords: Bibliometrics; Iran; Microbiome; Microbiota; Scientometrics.