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Based on the literature data in CNKI, data mining and analysis technologies were used in this paper to describe the scientific research and development direction of Pharmacognosy in the last decade from the perspective of bibliometrics. The analysis of measured data revealed the core research institutions, excellent research teams, leading scholars, major research aspects and research progress in the field. Results showed that most of the scholars in the field were from colleges and institutions, accounting for 74.6% of the total research findings and forming a group of core scholars. In terms of frequency and timeliness of citation, pharmacognosy is a discipline in sustained growth and development since it mainly cites the literature in the other disciplines, absorbs and utilizes knowledge of the other disciplines. Over the last few years, molecular identification and genetic diversity have become the research hotspots in pharmacognosy, and the techniques and methods such as ISSR, RAPD, DNA barcoding and DNA molecular marker have been widely used.
Subject(s)
Bibliometrics , China , DNA Barcoding, Taxonomic , Data Mining , Pharmacognosy , Random Amplified Polymorphic DNA Technique , ResearchABSTRACT
Objective To investigate the patent technological domain distribution of shanghai health system,and comparative analysis of patent technological hotspots between shanghai health system and enterprises.Methods The study used IPC classification method to conduct quantitative analysis of the distribution of patent technology,co-words analysis and visualization of social network establishment method were adopted to analyze patent technological hot spots.Results Within the A61 category,numbers of authorized patents of shanghai health system in orders are A61B、A61K、A61M and A61F.Further analysis of the highest authorized A61B17 group patent in the highest class A61B found that,compare to enterprises,the degree of coincidence with the high-frequency keywords of the technology hotspots is small,the technical hotspots are scattered,and lack of overall technical arrangement.Conclusions Shanghai health system mainly focused on medical device development.It is lower than that of enterprises regarding to the patent technology market demand matching,technical arrangement of the enterprise is relatively better than the health system,thus,the study suggested enhancing market demand survey,adjusting patent distribution,and broadening the scope of market promotion.
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The knowledge atlas for researches of invisible knowledge management was plotted after the key words and their relationship in papers on invisible knowledge published in the past 5 years were quantitatively and qualitatively analyzed by social network analysis, co-words cluster analysis, and impact factor analysis with the journal articles covered in CNKI, Wanfang, VIP Chinese Scientific and Technological Journals Databases as the data source.The hotspots and structure in researches of invisible knowledge management were then studied in order to provide reference for the innovative development and future research of invisible knowledge management.
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High frequency key words in papers on MOOC were retrieved from CNKI and Wanfang Data Knowledge Service Platform.A co-words matrix was constructed , which was then transformed into correlation matrix and dis-similarity matrix, respectively.The correlation matrix was analyzed by multidimensional scaling analysis to show the hotspots in domestic MOOC studies on teaching reform, open education, information technology, resource develop-ment, library service innovation and its development trends.
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Papers on big data studies in domestic libraries were analyzed with g index and cluster analysis method with CNKI as the data source,which showed the following hotspots in studies on big data,namely innovative service, subject service and literature resource development , big data storage , big data process , big data mining and analy-sis, big data processing technology and tools.The problems waiting to be solved were pointed out.
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Objective This study aimed to accurately understand medical teaching design research status and development trend to provide practical basis for the future of the medical teaching practice.Methods CNKI academic journal articles from January 1,2000 to December 30,2013 were retrieved,using search item for the subject,the retrieval word for instructional system design or instructional design,and the retrieval subject for medicine,and matches are precise retrieval way,and a total of 298 articles were retrieved.The common word analysis method was used to compare the high frequency keywords,analyze the key words in the article,and study the high frequency keywords clustering.Results In the two stages from 2000 to 2006 and from 2006 to 2013,research on medical teaching design of the courseware,distance education and other traditional E-learning-frequency gradually reduced,and vocabulary frequency related to education informationization of new situation such as cooperative learning,teacher education and constructionism and so on increased.In addition,in the second stage,some fresh words related to new technologies and new media appeared,such as interactive electronic whiteboard,virtual reality technology and so on.According to the correlation of keywords in 2007-2013,we found that the current medical teaching design research mainly gathered in three aspects such as classroom teaching,information technology supporting the reform of medical teaching and the training of medical teaching practitioners.Conclusion The research concluded that today and the future of medical teaching design research will mainly focus on three aspects such as effective teaching,the diversification of teaching supported by information technology and open medical education research under the Internet environment.
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The research hot spots and development in domestic neurology were analyzed by co-words analysis, visual analysis and the combination of them, which showed that the co-occurrence relation between high frequency words could display the structure and hot spots of subject headings in neurology, analysis of the cluster evolution and position could dynamically reveal the hot spots and development in neurology, and comprehensive analysis of words and their classes could directly and overall demonstrate the hot spots and development in neurology.
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The high frequency key words in papers on reading therapy published in China were selected, the fre-quencies of co-words presenting in a paper were calculated, and the established matrix of co-words was trans-formed into correlative matrix and diversity matrix, respectively.The diversity matrix was analyzed by cluster analysis and the hot research spots in papers on reading therapy published China were studied.