ArticleJournal of diabetes and metabolic disorders2016
Scientometric study of academic publications on antioxidative herbal medicines in type 2 diabetes mellitus.
Article in Journal of diabetes and metabolic disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- The effects of aqueous and ethanolic extracts of Rheum ribes on insulin-resistance and apolipoproteins in patients with type 2 diabetes mellitus: a randomized controlled trial.BMC complementary medicine and therapies · 2023Trial
- Scientometric study of academic publications on herbal medicines in Endocrinology & Metabolism Research Institute (EMRI) of Tehran University of Medical Sciences.Journal of diabetes and metabolic disorders · 2024Article
- Pomegranate Flower Extract-The Health-Promoting Properties Optimized by Application of the Box-Behnken Design.Molecules (Basel, Switzerland) · 2022Article
- Scientometric assessment of scientific documents published in 2020 on herbal medicines used for COVID-19.Journal of herbal medicine · 2022Article
- Scientometric Analysis of Global Scientific Publications on COVID-19 and Diabetes with an Emphasis on Middle Eastern Countries.International journal of endocrinology and metabolism · 2022Article
- The period of insect research in the tropics: a bibliometric analysis.International journal of tropical insect science · 2022Article
- Effect of multiple stressors and population decline of frogs.Environmental science and pollution research international · 2021Review
- Visualization of knowledge flow in interpersonal scientific collaboration network endocrinology and metabolism research institute.Journal of diabetes and metabolic disorders · 2021Review
- Systematic Review of Medicinal Plants Used for Treatment of Diabetes in Human Clinical Trials: An ASEAN Perspective.Evidence-based complementary and alternative medicine : eCAM · 2021Review
- Global Mapping of Interventions to Improve Quality of Life of People with Diabetes in 1990-2018.International journal of environmental research and public health · 2020Review
- Bibliometric Analysis of Dendritic Epidermal T Cell (DETC) Research From 1983 to 2019.Frontiers in immunology · 2020Article
- The status of international collaborations in compilation of Iranian scientific articles on environmental health engineering.Globalization and health · 2019Review
- Worldwide trends in scientific publications on association of gut microbiota with obesity.Iranian journal of basic medical sciences · 2019Review
- Scientometric Study on Non-communicable Diseases in Iran: A Review Article.Iranian journal of public health · 2018Review
- Researcher and Author Impact Metrics: Variety, Value, and Context.Journal of Korean medical science · 2018Review
- Phytotherapy in the Management of Diabetes: A Review.Molecules (Basel, Switzerland) · 2018Review
- Global cocaine intoxication research trends during 1975-2015: a bibliometric analysis of Web of Science publications.Substance abuse treatment, prevention, and policy · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScientometric 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.
methodsSome 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.
resultsOverall, 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.
conclusionsA 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.