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    Agricultural Library and Information    2019, 31 (5): 1-.  
    Abstract451)      PDF(pc) (3364KB)(192)       Save
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    Comparison of Artificial Intelligence Papers and Books Based on Citation and Altmetric Indicators
    YANG Siluo, YU Yonghao
    Agricultural Library and Information    2019, 31 (5): 5-12.   DOI: 10.13998/j.cnki.issn1002-1248.2019.05.19-0385
    Abstract900)      PDF(pc) (1332KB)(351)       Save
    [Purpose/significance] In the new research environment, research achievements are available on diverse formats and show different impacts. This paper compares impact of books and papers in artificial intelligence from various angles, and provides reference for comprehensive academic evaluation in the new environment. [Method/process] The paper combines bibliometrics and Altmetrics, and selects academic pa-pers and books in artificial intelligence, then compares them from aspects of country/author/age distribution, impact indicators, and subject content. [Result/Conclusion] In the field of artificial intelligence, for the number of published papers and books, the distributions of countries are relatively similar; the high-yield authors of both formats overlap little. In general, whether citation or altmetric indicators, the values of these indicators in papers are higher than those in books. In the aspect of subject, In the aspect of subject, topic words of papers are more novel and specific, reflecting the current research hotspots; but those of books are more general and explore the hotspots in the ascending stage. Both are important to analyse development stage of the field. [Limitations] This paper only focused on the field of artificial intelligence. In the future, we can expand the scope of research, obtain more data, combine more altmetric indicators to evaluate the impact of academic achievements more comprehensively.
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    Research Status and Application Challenges of Altmetrics to Evaluate the Social Impact of Scientific Research Output
    LIU Chunli, LIU Liping, MA Fengmao
    Agricultural Library and Information    2019, 31 (5): 13-20.   DOI: 10.13998/j.cnki.issn1002-1248.2019.05.19-0465
    Abstract828)      PDF(pc) (1007KB)(482)       Save
    The evaluation of the social influence of scientific research output is an important topic concerned by the government and the fund. Altmetrics has long been recognized as having the potential to measure social impact, but its application in the field of scientific output social impact assessment is still in the theoretical and empirical exploration stage. Firstly, this paper explains the concept and connotation of social impact assessment of scientific research output, common methods and typical international social impact assessment projects. Secondly, the research status of Altmetrics in evaluating the social impact of scientific research output is summarized. Finally, the future challenges of Altmetrics in the application of social impact assessment are pointed out from four aspects: the development of Altmetrics platform and indicators based on domestic data sources, the construction of the data tracking and collection framework for localizing Altmetrics, the normalization of Altmetrics and the multi-dimensional subdivision of social impact.
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    Study of Ways of Scientific Usage of Altmetrics Data Based on User Cases
    YU Houqiang, YIN Zihan, LI Longfei, CHANG Mengli
    Agricultural Library and Information    2019, 31 (5): 21-27.   DOI: 10.13998/j.cnki.issn1002-1248.2019.05.19-0386
    Abstract699)      PDF(pc) (1246KB)(246)       Save
    The study, based on analysis of user cases of Altmetric.com company, has summarized the successful experience of application of altmetrics data by various stakeholders including research institutions, publishers, libraries, funders and enterprises. Three major ways of using altmetrics data are identified, i.e. Facilitate promotion, support claim of impact and benefit scientific collaboration. As regards facilitating promotion, altmetrics data can be used to improve user experience, broaden the audiences and satisfy readers' interest. In terms of demonstrating the impact value, alternative measurement data can expand the scope of influence, improve the timeliness of impact, provide feedback on funding efficiency, and be used for scientific and technological assessment. These successful use methods can provide reference for the rational use of alternative measurement data by domestic research institutions and funding agencies.
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    Research on the Influence Evaluation of Altmetrics Hot Papers from the Perspective of Citation Indicators
    YU Yisheng, LIU Xinyan
    Agricultural Library and Information    2019, 31 (5): 28-36.   DOI: 10.13998/j.cnki.issn1002-1248.2019.05.19-0388
    Abstract741)      PDF(pc) (1122KB)(115)       Save
    This paper collects the index data of Top100 hot papers in 2017 from Altmetric.com platform. First of all, it analyzes the hot papers statistically, then combines the citation index data in Web of Science, through the coverage and correlation index screening, using the principal component analysis method to construct the paper influence model. The research results show that: (1) High-producing countrie is the United States; research institutes are mostly universities; the overall frequency of authors varies widely, and the directions of research are mostly in medicine, science and technology, and biology. (2) Twitter,Facebook, Blog, Mendeley, News and Wikipedia are the main indicators that make up the annual Altmetrics hot papers; It is more reasonable to introduce comprehensive evaluation of hot papers after citations; Chinese scholars and research institutes should also pay attention to their social influence while improving the academic influence of high-quality dissertations.
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    Research on Altmetric Indicators Evaluation system Model Based on Highly Cited Papers in Chinese Journals
    ZHANG Yao
    Agricultural Library and Information    2019, 31 (5): 37-42.   DOI: 10.13998/j.cnki.issn1002-1248.2019.05.19-0315
    Abstract816)      PDF(pc) (1675KB)(289)       Save
    [Purpose] In order to scientifically evaluate the social influence of academic papers and comprehensively evaluate the influence of academic papers, this paper explores the Altmetrics indicator evaluation system under Chinese environment. [Method] This paper takes the literature in the field of Library information and digital library as the research object, uses Python language to compile Internet worm program, traces the origin of relevant literature in social network platform, obtains relevant data and carries out indicator research.[Result/conclusion] This paper analyses and explores the data sources and specific indicators of Altmetrics, and preliminarily constructs an indicator evaluation system of Altmetrics in the field of library information and digital library under the Chinese environment. However, due to the subject limitations, the applicability of the indicator evaluation system to other academic fields still needs further research to verify and compare.
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