In the tag recommendation task on academic platforms,existing methods disregard users’customized preferences in favor of extracting tags based just on the content of the articles.Besides,it uses co-occurrence techniq...In the tag recommendation task on academic platforms,existing methods disregard users’customized preferences in favor of extracting tags based just on the content of the articles.Besides,it uses co-occurrence techniques and tries to combine nodes’textual content for modelling.They still do not,however,directly simulate many interactions in network learning.In order to address these issues,we present a novel system that more thoroughly integrates user preferences and citation networks into article labelling recommendations.Specifically,we first employ path similarity to quantify the degree of similarity between user labelling preferences and articles in the citation network.Then,the Commuting Matrix for massive node pair paths is used to improve computational performance.Finally,the two commonalities mentioned above are combined with the interaction paper labels based on the additivity of Poisson distribution.In addition,we also consider solving the model’s parameters by applying variational inference.Experimental results demonstrate that our suggested framework agrees and significantly outperforms the state-of-the-art baseline on two real datasets by efficiently merging the three relational data.Based on the Area Under Curve(AUC)and Mean Average Precision(MAP)analysis,the performance of the suggested task is evaluated,and it is demonstrated to have a greater solving efficiency than current techniques.展开更多
Purpose:The disseminating of academic knowledge to nonacademic audiences partly relies on the transition of subsequent citing papers.This study aims to investigate direct and indirect impact on technology and policy o...Purpose:The disseminating of academic knowledge to nonacademic audiences partly relies on the transition of subsequent citing papers.This study aims to investigate direct and indirect impact on technology and policy originating from transformative research based on ego citation network.Design/methodology/approach:Key Nobel Prize-winning publications(NPs)in fields of gene engineering and astrophysics are regarded as a proxy for transformative research.In this contribution,we introduce a network-structural indicator of citing patents to measure technological impact of a target article and use policy citations as a preliminary tool for policy impact.Findings:The results show that the impact on technology and policy of NPs are higher than that of their subsequent citation generations in gene engineering but not in astrophysics.Research limitations:The selection of Nobel Prizes is not balanced and the database used in this study,Dimensions,suffers from incompleteness and inaccuracy of citation links.Practical implications:Our findings provide useful clues to better understand the characteristics of transformative research in technological and policy impact.Originality/value:This study proposes a new framework to explore the direct and indirect impact on technology and policy originating from transformative research.展开更多
Purpose:The goal of this study is a comparative analysis of the relation between funding(a main driver for scientific research)and citations in papers of Nobel Laureates in physics,chemistry and medicine over 2019-202...Purpose:The goal of this study is a comparative analysis of the relation between funding(a main driver for scientific research)and citations in papers of Nobel Laureates in physics,chemistry and medicine over 2019-2020 and the same relation in these research fields as a whole.Design/methodology/approach:This study utilizes a power law model to explore the relationship between research funding and citations of related papers.The study here analyzes 3,539 recorded documents by Nobel Laureates in physics,chemistry and medicine and a broader dataset of 183,016 documents related to the fields of physics,medicine,and chemistry recorded in the Web of Science database.Findings:Results reveal that in chemistry and medicine,funded researches published in papers of Nobel Laureates have higher citations than unfunded studies published in articles;vice versa high citations of Nobel Laureates in physics are for unfunded studies published in papers.Instead,when overall data of publications and citations in physics,chemistry and medicine are analyzed,all papers based on funded researches show higher citations than unfunded ones.Originality/value:Results clarify the driving role of research funding for science diffusion that are systematized in general properties:a)articles concerning funded researches receive more citations than(un)funded studies published in papers of physics,chemistry and medicine sciences,generating a high Matthew effect(a higher growth of citations with the increase in the number of papers);b)research funding increases the citations of articles in fields oriented to applied research(e.g.,chemistry and medicine)more than fields oriented towards basic research(e.g.,physics).Practical implications:The results here explain some characteristics of scientific development and diffusion,highlighting the critical role of research funding in fostering citations and the expansion of scientific knowledge.This finding can support decision-making of policymakers and R&D managers to improve the effectiveness in allocating financial resources in science policies to generate a higher positive scientific and societal impact.展开更多
A novel indicator called price-citation was proposed.Based on the company integrated patent database of China listed companies of common stocks(A-shares)with the stock price and the stock return rate data,more than tw...A novel indicator called price-citation was proposed.Based on the company integrated patent database of China listed companies of common stocks(A-shares)with the stock price and the stock return rate data,more than two thousand of A-shares from 2017 to 2020 were selected.The effect of the traditional patent forward citation and the price-citation for discriminating the stock return rate was thoroughly analyzed via ANOVA.The A-shares of forward citation counts above the average showed higher stock return rate means than the A-shares having patents but receiving no forward citations.The price-citation,combining both the financial and patent attributes,defined as the multiplication of the current stock price and the currently receiving forward citation count,showed its excellence in discriminating the stock return rate.The A-shares of higher price-citation showed significantly higher stock return rate means while the A-shares of lower price-citation showed significantly lowest stock return rate means.The price-citation effect had not been changed by COVID-19 though COVID-19 affected the social and economic environment to a considerable extent in 2020.展开更多
In order to develop and utilize the tropical medicinal resource Amomum(A.)longiligulare T.L.Wu more reasonably and effectively,this paper summarizes the research progress in chemical constituents and pharmacological a...In order to develop and utilize the tropical medicinal resource Amomum(A.)longiligulare T.L.Wu more reasonably and effectively,this paper summarizes the research progress in chemical constituents and pharmacological activities of A.longiligulare by consulting the literatures,so as to provide a certain theoretical basis for exploring its material basis.The chemical constituents of A.longiligulare mainly include volatile oil,diphenylheptane and flavonoids,which have good efficacy in anti-peptic ulcer,as well as antioxidant,analgesic and other pharmacological activities.This paper briefly discusses the reasons for the differences in the composition of volatile oil studied by different scholars.By summarizing its pharmacological activities,it is found that its various pharmacological activities may be the basis of its anti-peptic ulcer.展开更多
The paper focuses on Wu Zetian,the only empress in China’s history,and her relationship with Buddhism.This study focuses on the book Zizhi Tongjian and compares the differences in the portrayal of Wu Zetian’s connec...The paper focuses on Wu Zetian,the only empress in China’s history,and her relationship with Buddhism.This study focuses on the book Zizhi Tongjian and compares the differences in the portrayal of Wu Zetian’s connection with Buddhism with the ancient texts of the Old Tang Book and the New Tang Book.It uses historical contextualism to analyze the epochal implications of these differences in the Northern Song Dynasty.Additionally,the paper discusses how historians downplayed or marginalized Wu Zetian’s achievements while emphasizing the negative aspects of her reign.Notably,historian Sima Guang,who was influenced by Confucianism and his own political situation,produced a biased description of Wu Zetian and the Buddhism which she promoted during her reign.展开更多
论文作为科研成果的重要表现形式,在“破五唯”的大背景下,科学遴选高水平论文至关重要,是保障代表作评价工作落地的基本抓手。引用评论是学术共同体对论文价值最直接的认可,亦是学术评价的实质性关键证据,对其内容进行深入挖掘有助于...论文作为科研成果的重要表现形式,在“破五唯”的大背景下,科学遴选高水平论文至关重要,是保障代表作评价工作落地的基本抓手。引用评论是学术共同体对论文价值最直接的认可,亦是学术评价的实质性关键证据,对其内容进行深入挖掘有助于更科学地发现高水平论文。首先,本文基于学术认同理论和证据特征阐释了模型构建的基本思想;其次,对基于内容语义的引用情感和引用功能进行重新界定和分类,并充分考虑“施引作者可信度”,构建高水平论文遴选综合加权模型;再其次,选取化学领域顶级刊物Angewandte Chemie-International Edition中的相关论文展开实证研究,结果表明,本文提出的模型可以较精准地筛选出“非常重要论文(very important paper,VIP)”;最后,与其他主流评价指标进行比较分析,证实了本文模型具有较高的区分度和鉴别度,在论文学术水平评价中具有显著优越性。展开更多
[目的/意义]科学论文向技术领域扩散对技术的创新发展发挥着重要作用,然而论文在技术领域的扩散速度参差不齐,扩散速度的快慢是否影响产生的扩散效果尚不清晰。[方法/过程]文章利用专利引用论文的引用关系,以1980—2009年Web of Scienc...[目的/意义]科学论文向技术领域扩散对技术的创新发展发挥着重要作用,然而论文在技术领域的扩散速度参差不齐,扩散速度的快慢是否影响产生的扩散效果尚不清晰。[方法/过程]文章利用专利引用论文的引用关系,以1980—2009年Web of Science数据库的论文和1980—2020年USPTO数据库的授权专利作为核心数据集,通过论文被引速率和首次被引间隔测度论文向技术领域的扩散速度,通过扩散产生的技术影响强度和技术影响广度综合测度扩散效果,并添加被引间隔和被引速率的交互作用,分析论文扩散速度与扩散效果的关系。此外,选择被专利持续引用的论文作为研究对象,分析不同扩散时期的扩散速率与扩散效果的关系。[结果/结论]研究表明,论文整体扩散速率不断上升;扩散速率与技术影响强度和广度均呈现倒U形关系,被引间隔与技术影响强度和广度均呈现U形关系;被引间隔对扩散速率与扩散效果的关系具有显著调节作用。此外,在不同扩散时期,早期和中期的扩散速率与技术影响强度和广度呈现倒U形关系,而中后期扩散速率与技术影响强度和广度呈现U形关系。展开更多
基金supported by the National Natural Science Foundation of China(No.62271274).
文摘In the tag recommendation task on academic platforms,existing methods disregard users’customized preferences in favor of extracting tags based just on the content of the articles.Besides,it uses co-occurrence techniques and tries to combine nodes’textual content for modelling.They still do not,however,directly simulate many interactions in network learning.In order to address these issues,we present a novel system that more thoroughly integrates user preferences and citation networks into article labelling recommendations.Specifically,we first employ path similarity to quantify the degree of similarity between user labelling preferences and articles in the citation network.Then,the Commuting Matrix for massive node pair paths is used to improve computational performance.Finally,the two commonalities mentioned above are combined with the interaction paper labels based on the additivity of Poisson distribution.In addition,we also consider solving the model’s parameters by applying variational inference.Experimental results demonstrate that our suggested framework agrees and significantly outperforms the state-of-the-art baseline on two real datasets by efficiently merging the three relational data.Based on the Area Under Curve(AUC)and Mean Average Precision(MAP)analysis,the performance of the suggested task is evaluated,and it is demonstrated to have a greater solving efficiency than current techniques.
基金supported by the National Natural Science Foundation of China(Grant No.71974167).
文摘Purpose:The disseminating of academic knowledge to nonacademic audiences partly relies on the transition of subsequent citing papers.This study aims to investigate direct and indirect impact on technology and policy originating from transformative research based on ego citation network.Design/methodology/approach:Key Nobel Prize-winning publications(NPs)in fields of gene engineering and astrophysics are regarded as a proxy for transformative research.In this contribution,we introduce a network-structural indicator of citing patents to measure technological impact of a target article and use policy citations as a preliminary tool for policy impact.Findings:The results show that the impact on technology and policy of NPs are higher than that of their subsequent citation generations in gene engineering but not in astrophysics.Research limitations:The selection of Nobel Prizes is not balanced and the database used in this study,Dimensions,suffers from incompleteness and inaccuracy of citation links.Practical implications:Our findings provide useful clues to better understand the characteristics of transformative research in technological and policy impact.Originality/value:This study proposes a new framework to explore the direct and indirect impact on technology and policy originating from transformative research.
文摘Purpose:The goal of this study is a comparative analysis of the relation between funding(a main driver for scientific research)and citations in papers of Nobel Laureates in physics,chemistry and medicine over 2019-2020 and the same relation in these research fields as a whole.Design/methodology/approach:This study utilizes a power law model to explore the relationship between research funding and citations of related papers.The study here analyzes 3,539 recorded documents by Nobel Laureates in physics,chemistry and medicine and a broader dataset of 183,016 documents related to the fields of physics,medicine,and chemistry recorded in the Web of Science database.Findings:Results reveal that in chemistry and medicine,funded researches published in papers of Nobel Laureates have higher citations than unfunded studies published in articles;vice versa high citations of Nobel Laureates in physics are for unfunded studies published in papers.Instead,when overall data of publications and citations in physics,chemistry and medicine are analyzed,all papers based on funded researches show higher citations than unfunded ones.Originality/value:Results clarify the driving role of research funding for science diffusion that are systematized in general properties:a)articles concerning funded researches receive more citations than(un)funded studies published in papers of physics,chemistry and medicine sciences,generating a high Matthew effect(a higher growth of citations with the increase in the number of papers);b)research funding increases the citations of articles in fields oriented to applied research(e.g.,chemistry and medicine)more than fields oriented towards basic research(e.g.,physics).Practical implications:The results here explain some characteristics of scientific development and diffusion,highlighting the critical role of research funding in fostering citations and the expansion of scientific knowledge.This finding can support decision-making of policymakers and R&D managers to improve the effectiveness in allocating financial resources in science policies to generate a higher positive scientific and societal impact.
基金support from Ministry of Science and Technology,Taiwan,R.O.C.under Grant No.MOST 109-2410-H-011-021-MY3.
文摘A novel indicator called price-citation was proposed.Based on the company integrated patent database of China listed companies of common stocks(A-shares)with the stock price and the stock return rate data,more than two thousand of A-shares from 2017 to 2020 were selected.The effect of the traditional patent forward citation and the price-citation for discriminating the stock return rate was thoroughly analyzed via ANOVA.The A-shares of forward citation counts above the average showed higher stock return rate means than the A-shares having patents but receiving no forward citations.The price-citation,combining both the financial and patent attributes,defined as the multiplication of the current stock price and the currently receiving forward citation count,showed its excellence in discriminating the stock return rate.The A-shares of higher price-citation showed significantly higher stock return rate means while the A-shares of lower price-citation showed significantly lowest stock return rate means.The price-citation effect had not been changed by COVID-19 though COVID-19 affected the social and economic environment to a considerable extent in 2020.
基金supported by the National Natural Science Foundation of China(81660649),and Innovative Scientific Research Project for Postgraduates of Hainan Medical University(HYYS2020-05)。
文摘In order to develop and utilize the tropical medicinal resource Amomum(A.)longiligulare T.L.Wu more reasonably and effectively,this paper summarizes the research progress in chemical constituents and pharmacological activities of A.longiligulare by consulting the literatures,so as to provide a certain theoretical basis for exploring its material basis.The chemical constituents of A.longiligulare mainly include volatile oil,diphenylheptane and flavonoids,which have good efficacy in anti-peptic ulcer,as well as antioxidant,analgesic and other pharmacological activities.This paper briefly discusses the reasons for the differences in the composition of volatile oil studied by different scholars.By summarizing its pharmacological activities,it is found that its various pharmacological activities may be the basis of its anti-peptic ulcer.
文摘The paper focuses on Wu Zetian,the only empress in China’s history,and her relationship with Buddhism.This study focuses on the book Zizhi Tongjian and compares the differences in the portrayal of Wu Zetian’s connection with Buddhism with the ancient texts of the Old Tang Book and the New Tang Book.It uses historical contextualism to analyze the epochal implications of these differences in the Northern Song Dynasty.Additionally,the paper discusses how historians downplayed or marginalized Wu Zetian’s achievements while emphasizing the negative aspects of her reign.Notably,historian Sima Guang,who was influenced by Confucianism and his own political situation,produced a biased description of Wu Zetian and the Buddhism which she promoted during her reign.
文摘论文作为科研成果的重要表现形式,在“破五唯”的大背景下,科学遴选高水平论文至关重要,是保障代表作评价工作落地的基本抓手。引用评论是学术共同体对论文价值最直接的认可,亦是学术评价的实质性关键证据,对其内容进行深入挖掘有助于更科学地发现高水平论文。首先,本文基于学术认同理论和证据特征阐释了模型构建的基本思想;其次,对基于内容语义的引用情感和引用功能进行重新界定和分类,并充分考虑“施引作者可信度”,构建高水平论文遴选综合加权模型;再其次,选取化学领域顶级刊物Angewandte Chemie-International Edition中的相关论文展开实证研究,结果表明,本文提出的模型可以较精准地筛选出“非常重要论文(very important paper,VIP)”;最后,与其他主流评价指标进行比较分析,证实了本文模型具有较高的区分度和鉴别度,在论文学术水平评价中具有显著优越性。
文摘[目的/意义]科学论文向技术领域扩散对技术的创新发展发挥着重要作用,然而论文在技术领域的扩散速度参差不齐,扩散速度的快慢是否影响产生的扩散效果尚不清晰。[方法/过程]文章利用专利引用论文的引用关系,以1980—2009年Web of Science数据库的论文和1980—2020年USPTO数据库的授权专利作为核心数据集,通过论文被引速率和首次被引间隔测度论文向技术领域的扩散速度,通过扩散产生的技术影响强度和技术影响广度综合测度扩散效果,并添加被引间隔和被引速率的交互作用,分析论文扩散速度与扩散效果的关系。此外,选择被专利持续引用的论文作为研究对象,分析不同扩散时期的扩散速率与扩散效果的关系。[结果/结论]研究表明,论文整体扩散速率不断上升;扩散速率与技术影响强度和广度均呈现倒U形关系,被引间隔与技术影响强度和广度均呈现U形关系;被引间隔对扩散速率与扩散效果的关系具有显著调节作用。此外,在不同扩散时期,早期和中期的扩散速率与技术影响强度和广度呈现倒U形关系,而中后期扩散速率与技术影响强度和广度呈现U形关系。