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Research on Three Dimensional Measuring Method of Papers' Influence Based on Altmetrics
YANG Siluo, CHENG Aijuan, YUAN Qingli
2018, 30 (
10
): 5-12. DOI:
10.13998/j.cnki.issn1002-1248.2018.10.001
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788
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This paper analyzes the influence mechanism of papers in order to reflect the influence from many angles, provide the evaluation and selection of a new perspective, we divided the influence of papers into the perceived degree of influence, social influence and academic influence dimension; through index correlation analysis, reliability and validity analysis to select indexes, the allocation of index weight based on factor analysis, at last, construct a Three - Dimensional Method for evaluating the influence of a single paper . The empirical analysis shows that the paper can be divided into five categories: common, professional, star, star - professional and famous.
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Comparison between High Attention Papers and ESI Hot Papers: A Case Study of Clinical Medicine
ZHANG Yang, YU Yanhui, HUANG Danqing
2018, 30 (
10
): 13-22. DOI:
10.13998/j.cnki.issn1002-1248.2018.10.002
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746
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In this research, based on the academic papers of clinical medicine, we use quantitative analysis and visualization to analyze the differences between Altmetrics and citation analysis by exploring the features between top Altmetric Score papers and ESI hot papers from multiple aspects, such as the annual volume, the distribution of journals, the regional distribution of authors and research hot spots. Compared with the traditional citation method, Altmetrics has the advantages of timeliness, diversification of source journals and themes close to life but lack of rigidity and poor stability. Only by combining Altmetrics with citation analysis, the academic influence of scientific achievements can be accurately predicted by the academic evaluation system.
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Co-authorship Network Analysis in the Field of Webometrics of Domestic and Foreign
ZHANG Yang, YE Yue
2018, 30 (
10
): 23-29. DOI:
10.13998/j.cnki.issn1002-1248.2018.10.003
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690
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In this paper, 1756 domestic and 427 foreign literature co-authorship data in the field of webometrics have collected, the use of social network analysis methods to establish and study the domestic and foreign Co-authorship network, analysis of the overall characteristics of the two networks, through its network Density, average path, clustering coefficient and group analysis of connected groups in the network, revealed both domestic and foreign co-author status and model, and the study found that the foreign Co-authorship network is superior to the domestic, tacit knowledge is obvious, but the network is small.
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The analysis of Journal Evaluation Research Based on CSSCI
ZHANG Yang, FANG Yiran
2018, 30 (
10
): 30-37. DOI:
10.13998/j.cnki.issn1002-1248.2018.10.004
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727
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This paper analyzes the distribution of journals and disciplines, the distribution of authors and institutions, the distribution of journals and the frequency of key words. Using CiteSpace to carry on the keyword co-occurrence analysis, get the research hotspot and the frontier. On the basis of this, it reveals the key and shortcomings of the research in this field, and explores the development trend of the future journal evaluation.
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A Quantitative Analysis of Scientific Research Evaluation at Home and Abroad
ZHANG Yang, WANG Yuanyuan
2018, 30 (
10
): 38-48. DOI:
10.13998/j.cnki.issn1002-1248.2018.10.005
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963
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The distribution of papers, subjects, authors, organizations, published journals and frequency of keywords are discussed by quantitative methods. Using the tool of CiteSpace, this article analyses high frequency keyword co-ocurrence and document co-citation, which obtain hot topics and frontiers. Suming up main contents of the study, the distribution characteristics of content is revealed. On this basis, the paper evaluates its emphases and shortcomings, and explores the important research directions of journal evaluation.
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(Monthly,Started in 1984)
Administered:
Ministry of Agriculture and Rural Affairs,P.R. China
Sponsored:
Institute of Agricultural Information Instiute, Chinese Academy of Agricultural Sciences
Editor in Chief:
SUN Tan
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