scholarly journals Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Xiaoying Zhang ◽  
Wenxiu Wang ◽  
Xiaolei Yu ◽  
Yuxia Liu ◽  
Wenhui Li ◽  
...  
Keyword(s):  
Quality Control ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Morphological Characters ◽  
Composition Analysis ◽  
Operational Taxonomic Units ◽  
Natural Medicine ◽  
Main Host ◽  
Dna Metabarcoding ◽  
Biodiversity Analysis

AbstractFaeces Vespertilionis is a commonly used fecal traditional Chinese medicine. Traditionally, it is identified relying only on morphological characters. This poses a serious challenge to the composition analysis accuracy of this complex biological mixture. Thus, for quality control purposes, an accurate and effective method should be provided for taxonomic identification of Faeces Vespertilionis. In this study, 26 samples of Faeces Vespertilionis from ten provinces in China were tested using DNA metabarcoding. Seven operational taxonomic units (OTUs) were detected as belonging to bats. Among them, Hipposideros armiger (Hodgson, 1835) and Rhinolophus ferrumequinum (Schober and Grimmberger, 1997) were the main host sources of Faeces Vespertilionis samples, with average relative abundances of 59.3% and 24.1%, respectively. Biodiversity analysis showed that Diptera and Lepidoptera were the most frequently consumed insects. At the species level, 19 taxa were clearly identified. Overall, our study used DNA metabarcoding to analyze the biological composition of Faeces Vespertilionis, which provides a new idea for the quality control of this special traditional Chinese medicine.

Bibliometric Study on the Highly Cited Papers and Correlation Between Citation Frequency and Download Frequency in Chinese Medicine Journals

2021 ◽  
pp. 2153004
Author(s):  
Qinghui Qu ◽  
Xinyang Zhang
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Academic Quality ◽  
Academic Journal ◽  
Research Papers ◽  
Highly Cited Papers ◽  
Natural Medicine ◽  
Citation Frequency ◽  
Highly Cited

The purpose of this paper is to retrieve and study the highly cited papers as well as the correlation between the citation frequency and the download frequency of the 20 traditional Chinese medicine journals in China, in order to provide the guidance for improving the influence and academic quality of these journals. Bibliometric analyses were conducted on 1103 papers of 20 traditional Chinese medicine journals from 2011 to 2020 by retrieving for the China Academic Journal Network Publishing Database (CAJD) in China National Knowledge Infrastructure (CNKI). SPSS 17.0 software was used to analyze the correlation between the citation frequency and the download frequency via conducting regression fitting and establishing the mathematical models. The results showed that the total citations of the 1103 papers were 93051 times and the average citations were 84.36 times per paper. The total downloads of the 1103 papers were 2058442 times, and the average downloads were 1866.22 times per paper. China Journal of Chinese Materia Medica ranked first according to the number of papers, total citations and total downloads. The citations of Journal of Chinese Medicinal Materials ranked first based on the number of citations per paper. One of Li’s paper had been cited the most (983 times). There were 629 (57.03%) papers whose first author was from universities. The scopes of the first authors were distributed in 29 regions and 2 special administrative regions (Macao, Hong Kong) in China. The authors from Beijing published 283 (25.66%) papers, ranking number one. The number of papers supported by funds was 882 (79.96%). The research results of correlation showed that the citation frequency and the download frequency of the highly cited papers had a highly positive correlation from both journal and paper level for whether the sample data of journals was normally distributed or nonnormally distributed. The correlation coefficients of the 20 journals at journal level and that at paper level were 0.9765 and 0.6677, respectively. The correlation was better at journal level than that at paper level, while the optimal regression fitting was all cubic polynomial. Among the 1103 papers, there were 684 (62.01%) research papers and 419 (37.99%) review papers. The main citation period of the top 15 papers was from the 2nd year to the 6th year after publication, accounting for 78.39%. Papers on clinical therapeutics research, papers on the pharmacological effects and its mechanism of traditional Chinese medicine, and papers on traditional Chinese medicine and natural medicine were the main source of the highly cited papers of the traditional Chinese medicine journals. Editors of the journals should focus on the above-mentioned research areas to select manuscripts for exploiting the excellent sources extensively, while paying attention to review papers, focusing on national major or key projects, paying attention to network spreading, stabilizing authors with quality services, in order to improve the influence and the academic quality of journals.

scholarly journals The Reporting Quality Assessment of Complex Interventions’ Articles in Traditional Chinese Medicine

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Meng Wu ◽  
Jingqing Hu ◽  
Biaoyan Liu
Keyword(s):  
Quality Control ◽  
Clinical Trials ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Complex Interventions ◽  
Reporting Quality ◽  
Chinese Journal ◽  
Inform Consent ◽  
Ethical Approval ◽  
Selection Of

Objective.To realize the current situation and problems of complex interventions’ clinical trials.Methods.Searching at Chinese Journal Integrated Traditional and Western Medicine and Journal of Traditional Chinese Medicine from 2007 to 2012 by hand, we identified complex interventions’ articles, and then we used the proposed criteria of complex interventions and CONSORT FOR TCM to evaluate.Results.All data is presented as counts with percentages and details in tables.Conclusion.Our evaluation presented that complex interventions have many defects: the selection of the intervention’s components lacks rationale, complex interventions were short of fundamental researches, components’ interactions were ambiguous, and the advantages of complex interventions were not mentioned. Furthermore, explanation of sample size, blind, quality control, ethical approval, and inform consent were neglected in different degrees.

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