Scientometric analysis: identification of research trends for ozone as an air pollutant for 2011-2019.

Ground level ozone is a major air pollutant with known toxic effects on humans. The research field is well established with many scientists from developed and developing countries contributing original research articles. Strict regulations for ozone air pollution are being implemented worldwide based on supporting scientific literature. In this scientometric analysis, we have analyzed the research trends in the field of ozone air pollution during 2011-2019. The collected SCOPUS data was analyzed using common scientometric analysis methods for known indicators to identify top ten rankings and scientific collaborations important for the field. Our result demonstrates that the USA is leading the field as USEPA and American regulatory authorities have funded most of the research. Two scientists, Russell A.G. and Schwartz J., working in American institutions, are leading with the most publications. Our assessment of ozone and PM together shows a significant impact on research direction in the last years to accommodate the study of both air pollutants together. In addition, we have analyzed the possible disease trends in the field for the last 3 years and identified that cardiovascular system, nervous system, and diabetes are upcoming disease areas that would be studied in the coming future.

Document recommendation based on interests of co-authors for brain science.

Personalized knowledge recommendation is an effective measure to provide individual information services in the field of brain science. It is essential that a complete understanding of authors' interests and accurate recommendation are carried out to achieve this goal. In this paper, a collaborative recommendation method based on co-authorship is proposed to make. In our approach, analysis of collaborators' interests and the calculation of collaborative value are used for recommendations. Finally, the experiments using real documents associated with brain science are given and provide supports for collaborative document recommendation in the field of brain science.

Electronic Medical Record in TCM Field-An Analysis Based on Scientific Knowledge Visualization / 中国中医药信息杂志

ObjectiveTo assess China’s newly evolved hot spots and novelty of structural electronic medical record in TCM field.Methods Articles about electronic medical record in TCM field were retrieved from CNKI from January 2000 to December 2015, focusing on researchers, research institutes, and key words for bibliometric analysis. Then visualization software CiteSpace was used to establish co-occurrence network.ResultsThe top 3 productive authors were LIU Bao-yan (13 articles), ZHANG Run-shun (8 articles), XIE Qi (7 articles), and ZHOU Xue-zhong (7 articles). Institutes highly cooperated with others included China Academy of Chinese Medical Sciences, Information Engineering College of Hubei University of Chinese Medicine and The First Affiliated Hospital of Henan University of Chinese Medicine. The major clusters were TCM diagnosis (#0), China’s TCM information (#1), artificial intelligence (#2), medical record management (#3), and medical laboratory department (#4). The representative keywords involved electronic medical record, TCM hospital, data mining, telemedicine, and artificial intelligence. ConclusionIn the field of TCM electronic medical record, cooperation is not sufficiently facilitated among researchers and institutes. Research hot spots are not formed and novelty is not obvious, which is probably because of the overall status quo for China’s TCM information construction.

Allocation methods of coauthor credit in collaboration of scientific research / 中华医学图书情报杂志

The rationality of hormonal calculating method for the precedence of signed authors and the total num-ber of coauthors was elaborated according to the analysis of different allocation methods for the credit weight of coau-thors. It was proposed that the credit weight calculating method of co-first authors, corresponding author and co-corresponding authors should be used as a supplement of hormonal calculating method, and the published papers and their citation frequency should be weighted in order to provide the ideas for revising the present scientific re-search evaluation methods.

Co-Author Networks in Journal of the Korean Academy of Child and Adolescent Psychiatry

OBJECTIVES: The purpose of this study is to analyze the co-author networks in the Journal of the Korean Academy of Child and Adolescent Psychiatry, a representative journal published by a branch of the domestic psychiatric academy, in order to present the current state of the co-authoring of and developments in child and adolescent psychiatry. METHODS: We visualized and estimated the basic characteristics of the co-author networks shown by 564 authors who wrote 251 papers published in the Journal of the Korean Academy of Child and Adolescent Psychiatry between 2005 and 2015, in order to assess their network characteristics, author centrality, and relevance to research performance. RESULTS: The co-author networks in the Journal of the Korean Academy of Child and Adolescent Psychiatry showed the characteristics of a small world and scale-free network. There was a correlation between the author centrality within the network and the research performance of the authors, but less correlation was shown between the centrality and mean paper citation counts. CONCLUSION: The network structure in the Journal of the Korean Academy of Child and Adolescent Psychiatry showed similarity to the co-authoring of other branches. However, given that the mean paper citation counts were less correlated with the author centrality than those in other branches, it may be necessary to promote an increase in the mean paper citation counts.