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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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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.
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Bibliometrics , China , DNA Barcoding, Taxonomic , Data Mining , Pharmacognosy , Random Amplified Polymorphic DNA Technique , ResearchABSTRACT
Objective To provide the scientific evidence for studying Alzheimer's disease (AD) and decision-making for its management by analyzing the strategic information of hotspots in studies on AD.Methods Citation strategic coordinate diagram was plotted by describing the history of studies on AD with co-citation clustering for further understanding the novelty and concern of hotspots in studies on AD.The current hotspots in studies on AD were discovered by co-words clustering and their strategic coordinates were analyzed to reveal their development periods.Results The current hotspots in studies on AD were substance metabolism in AD patients, etiology of AD and therapies for AD.The diagnosis of AD according to its clinical characteristics and hypothesis on amyloid cascade in AD patients were greatly concerned.Conclusion Citation strategic coordinate analysis and co-words strategic coordinate analysis can display the hotspots in studies on AD and their development history.
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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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After the basic properties of literature-related citation network, co-authorship network and co-words network were analyzed and the advances in their application research were summarized in aspects of their construc-tion methods, size and research depth, it was pointed out that article similarity networks could be constructed using the article similarity algorithm, and their basic properties and features were analyzed.
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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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After a description of the previous methods used in detecting research fronts and their problems, the methods to detect scientific funds-supported research fronts using sliding window were proposed .The research fronts in oncology were detected using the optimal clustering algorithms, which showed that the clustering effect of agglomerative algorithm was excellent on research fronts in oncology .The data in 4 sliding windows were analyzed by co-words clustering analysis to reveal the research fronts and their evolution rules in oncology .
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The research frontiers in foreign medical informatics were analyzed according to the co-occurrence net-work map, hotspots density map and cluster tree map that were plotted for the PubMed-covered scientific papers on medical informatics from 2010 to 2014 , which showed that the research frontiers in foreign medical informatics were the natural language processing and data mining of electronic health records, medical decision-making assistant system, computer-aided drug therapy, clinical decision-making support, health service attitude, health service quality, health service model, medical records system and its linkage, information system and its integration.
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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.
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A co-words network for high frequency words was established using the title information of papers pub-lished in 22 medical journals from 2005 to 2013.The evolution of medical scientific research topics was analyzed with the visual analysis software NEViewer, which showed that medical research in China was focused on basic and application studies with the prevention and treatment of frequently encountered diseases and the associated technical methods as the two main directions, and that medical scientific research topics would remain their stable status in a rather long period.The hot medical topics were explained.
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Lung cancer-related papers published by authors of China were retrieved from PubMed and the high frequency subject headings and subheadings were extracted from them using the Bicomb system.The status quo and hot spots of lung cancer-related studies in China were analyzed .
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Objective To investigate the literature research focus of Chinese Pediatric Emergency Medicine.Methods The papers published in Chinese Pediatric Emergency Medicine from 2006 to 2011 and indexed by wanfang database served as the basic data sources.Four thousands and fifty-four keywords were collected from 1194 literature.Keyword frequency statistics and the co-occurrence analysis were made by using bibliographic item co-occurrence matrix builder,and cluster analysis was made using SPSS 11.5 software.Results Newborns,premature,hand,foot and mouth disease,mechanical ventilation,sepsis,congenital heart disease was the top 10 high-frequency keywords.Cluster analysis diagram showed the research focus from articles published in Chinese Pediatric Emergency Medicine for the past six years,which included:(1) hand,foot and mouth disease; (2) prognostic factors for septic shock; (3) acute lung injury and acute respiratory distress syndrome; (4) neonatal asphyxia induced hypoxic-ischemic encephalopathy; (5) the disease of premature infants ; (6) the treatment of congenital heart disease complicated with severe pneumonia and heart failure; (7) the pathogens and drug resistance analysis of pediatric intensive care unit-acquired infection; (8) sepsis.Conclusion The main study law and direction of Chinese Pediatric Emergency Medicine in the past six years are proved by keyword co-words cluster analysis.
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Background & objectives: Artemisinin was first extracted from the herb Artemisia annua which has been used for many centuries in Chinese traditional medicine as a treatment for fever and malaria. It has been given the 2011 Lasker-DeBakey clinical medical research award. In this paper, knowledge map of artemisinin research was drawn to provide some information for global researchers interested in artemisinin and its relevant references. Methods: In this work, bibliometric analysis and knowledge visualization technology were applied to evaluate global scientific production and developing trend of artemisinin research through Science Citation Index (SCI) papers and Medline papers with online version published as following aspects: publication outputs, subject categories, journals, countries, international collaboration, citations, authorship and co-authorship, author key words and co-words analysis. The Thomson Data Analyzer (TDA), Netdraw and Aureka software were employed to analyze the SCI as well as Medline papers data for knowledge mapping. Results: Global literature of artemisinin research has increased rapidly over the past 30 years and has boosted in recent years. Seen from the statistical study in many aspects, Pharmacology & Pharmacy, and Chemistry are still the main subjects of artemisinin research with parasitology and tropical medicine increasing quickly. Malaria Journal and American Journal of Tropical Medicine are top productive journals both in SCI and Medline databases. Quantity and quality of papers in US are in a leading position, although papers quantity and active degree in developing countries such as P.R. China, Thailand and India are relatively high, the quality of papers from these countries needs to be improved. New emerging key words and co-words remind us that mechanism of action, pharmacokinetics, artemisinin-based alternatives, etc. are the future trends of artemisinin research. Conclusion: Through bibliometric analysis the development trends of artemisinin research are predicted. With further development of artemisinin research, it is presumed that scientists might concentrate mainly on the synthesis of new compounds with activity, action mechanism, new artemisinin-based combination therapy regimens, etc.