Bibliometric analysis of diabetic retinopathy therapy based on Web of Science database / 中华眼底病杂志

Objective:To analyze the trend, hotspots and frontiers of diabetic retinopathy (DR) therapy by bibliometric method.Methods:Data were taken from the Web of Science website of Science Citation Index. Articles from 2017 to 2021, which were related to the therapy of diabetic retinopathy (DR), were included. The bibliometric analysis softwares, VOSviewer and CiteSpace were used to generate and analyze visual representations of the complex data input, including high-frequency keywords, keywords with the strongest citation bursts and co-occurrence networks of keywords.Results:A total of 3,845 articles were included. The amounts of papers published from 2017 to 2021 is 633, 651, 708, 893, and 960 respectively, increasing over years. Chinese scholars published the most articles, followed by the United States. The number of articles funded by the National Natural Science Foundation of China ranks third. There were 47 high-frequency keywords clustered into DR treatment, pathogenesis of DR, diagnosis of DR, Oxidative stress, diabetic macular edema (DME), type 2 diabetes, optical coherence tomography and deep learning. Those keywords were research hotspots and new keywords were constantly emerging. Among the top 11 burst words, the burst values of "intravitreal bevacizumab", "vascular endothelial growth factor (VEGF)", "choroidal neovascularization", "inhibition", and "receptors" were all over 10. Highly cited references showed a significant clustering tendency, which were treatment of DME, review of DR, clinical research of anti-VEGF drug therapy.Conclusions:The amount of paper related to DR therapy is on the rise; the specific treatment methods for the pathogenesis of DR are constantly research hotspots. In addition, formulating treatment strategies to reduce macular edema and other complications of diabetes, applying optical coherence tomography, deep learning and other technologies to improve the efficiency of DR diagnosis and treatment, improve targeted drug delivery systems, and finding new target points were research frontiers.

Exploring Technology Frontiers for Neuroblastoma Treatment from Perspective of Patent Citation Network / 肿瘤防治研究

Objective To explore the technology frontiers for neuroblastoma treatment from the perspective of patent citation network. Methods Through patent analysis for neuroblastoma treatment, highly cited patents and highly cited papers in the citation network were taken as the research objects. The title and abstract of the citing patents were analyzed by text clustering to identify the technology frontiers. Through social network analysis, the core patents were identified from the indices of degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. Results A total of 6240 patent applications for neuroblastoma treatment were found, including 71304 patent citations and 88698 journal-article citations. Four technology frontiers were identified based on patent citation network, namely, drug target, drug design, tumor-indication expansion, and gene-expression regulation. Three technology frontiers were identified based on journal-article citation network. They were drug target, drug design, and tumor-indication expansion. Conclusion The development of technology for neuroblastoma treatment continues to be active. Drug target and drug design are the most important technology frontiers. This study could provide certain reference for neuroblastoma treatment from the perspective of information science.

Evaluation on the Scientific and Research Influence of Institution Based on PageRank / 医学信息学杂志

The paper puts forward the method for evaluation on the scientific influence of institution based on PageRank algorithm,configures the initial weight of each institution based on the problems of dividing equally the webpage weight number in the classical PageRank algorithm and cited frequency of the application chapter,constructs the network matrix cited by institution through the citation situation of medical SCI papers published by partial colleges and universities in 2015,respectively calculates the PageRank values of institution when self-citation is excluded or included,and conducts comparative analysis on the sequence of cited frequency indicators of the institution as well as H index.This method can be used to evaluate scientific influence of institution from two dimensions of quality and quantity.

Advances in research of three literature-related complex networks:citation network, co-authorship network and co-words network / 中华医学图书情报杂志

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.

Citation network-based rule of knowledge flow between different medical subjects and its enlightenments / 中华医学图书情报杂志

The characteristics of knowledge exchange in medical field of China were analyzed by social network analysis with the medical data covered in CNKI Citation Database as its study object, which showed that both the inflow and outflow volumes of clinical medicine are the largest and form the core in knowledge exchange network, preclinical medicine is the theoretical base of other medical subjects and the important knowledge source in medical networks, the interchange is close between traditional Chinese medicine, surgery and other clinical subjects, oncology is rather active in interdisciplinary studies, the interchange between stomatology and psychology is rather rare with other clinical subjects in knowledge networks and stomatology and psychology are two independent subjects.Carrying out information push service for these subjects by making use of their characteristics can improve the targeted information service, step up the knowledge exchange between different medical subjects, and promote the cooperative interdis-ciplinary studies.

Accelerating the transition among T1, T2, and T3 phases of translational medicine through citation networks / 中华临床营养杂志

The 3T road map proposed by Dougherty and Conway views translational research as a continuous process that moves from basic research through clinical (T1),postclinical (T2),and practice-based research and ultimately to health policies,outcomes,and impacts (T3).It can be used as a fundamental framework for evaluating and measuring translational research.The citation networks between publications may reveal translational interfaces,translational path,and translational lag in a specific research field,which can help researchers understand the critical content and road maps during their translational research,and thus accelerate translational medicine during T1,T2,and T3 phases of translational research.Based on the citation networks,we built a two-dimensional model for measuring the process of translational research.