基于期刊论文的作者合作特征及其对科研产出的影响——以国际医学信息学领域高产作者为例
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摘要
为了解科研活动中科研合作与学术产出的特点并提出改进科研合作模式的建议,使科研工作者在注重合作意识的基础上,更好地选择科研合作伙伴,建立高效研究合作网络,提高学术产出,促进科学发展,本文以国际医学信息学领域200位高产作者为例,通过文献调研,综合运用社会网络分析、文献计量学、统计学等相关分析方法,首先对科研产出计量指标如发文量、篇均被引数量、h指数、重要论文数,以及科研合作计量指标如点度中心度、中介中心性、结构洞、合作能力指数、合作度、合作率、合作系数等分别进行相关分析,然后采用主成分分析法提取公因子,最后以新构造的科研产出计量指标为因变量、科研合作计量指标为自变量进行多元统计分析。结果表明,医学信息学领域科研合作现象越来越普遍,不同合作模式下,学者科研产出分布存在差异;作者固定合作人数增多并不能反映与其合作人群的异质程度高,故研究者若想提高其科研产出,可注重在与合作伙伴建立稳定、高频的合作模式的基础上,努力与不同学科背景的研究者合作,增加合作伙伴的多样性。
In order to realize the characteristics of collaboration and output in scientific research, propose improvements to research collaboration models, increase collaboration awareness, help scientific researchers choose better research partners,establish an efficient research collaboration network, improve academic research output, and promote scientific development. This study uses 200 high-yielding authors in the field of international medical informatics as an example to conduct a literature review, and social network, bibliometric, statistical analyses. First, a correlation analysis is carried out to investigate the relationships among measurement indicators of scientific research output, such as the number of articles,number of articles cited, h-index, and number of papers whose citation exceeds a certain eigenvalue n, and scientific research collaboration indicators such as point degree, intermediary center, structural hole, collaboration ability index,collaboration degree, collaboration rate, and collaboration coefficient. Then, the principal component analysis method is adopted to extract the common factors. Finally, using the newly constructed scientific research output measurement index as the dependent variable and the scientific research collaboration measurement index as the independent variable, a multivariate statistical analysis is undertaken. The results show that the phenomenon of scientific research collaboration in the field of medical informatics is increasingly common. Under different collaboration modes, there are differences in the distribution of scientific research output of scholars. The increase in the number of fixed collaborations between authors does not reflect the high degree of heterogeneity among the cooperating groups. If researchers want to improve scientific research output, they should focus on establishing a stable and high-frequency collaboration model with partners and strive to cooperate with researchers from different disciplines to improve partner diversity.
In order to realize the characteristics of collaboration and output in scientific research, propose improvements to research collaboration models, increase collaboration awareness, help scientific researchers choose better research partners,establish an efficient research collaboration network, improve academic research output, and promote scientific development. This study uses 200 high-yielding authors in the field of international medical informatics as an example to conduct a literature review, and social network, bibliometric, statistical analyses. First, a correlation analysis is carried out to investigate the relationships among measurement indicators of scientific research output, such as the number of articles,number of articles cited, h-index, and number of papers whose citation exceeds a certain eigenvalue n, and scientific research collaboration indicators such as point degree, intermediary center, structural hole, collaboration ability index,collaboration degree, collaboration rate, and collaboration coefficient. Then, the principal component analysis method is adopted to extract the common factors. Finally, using the newly constructed scientific research output measurement index as the dependent variable and the scientific research collaboration measurement index as the independent variable, a multivariate statistical analysis is undertaken. The results show that the phenomenon of scientific research collaboration in the field of medical informatics is increasingly common. Under different collaboration modes, there are differences in the distribution of scientific research output of scholars. The increase in the number of fixed collaborations between authors does not reflect the high degree of heterogeneity among the cooperating groups. If researchers want to improve scientific research output, they should focus on establishing a stable and high-frequency collaboration model with partners and strive to cooperate with researchers from different disciplines to improve partner diversity.
引文
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[17]邱均平,温芳芳.近五年来图书情报学研究热点与前沿的可视化分析——基于13种高影响力外文源刊的计量研究[J].中国图书馆学报,2011,37(2):51-60.
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[21]姜鑫.基于“结构洞”视角的组织社会网络内隐性知识共享研究[J].情报资料工作,2012,33(1):32-36.
[22]Schubert A.A Hirsch-type index of co-author partnership ability[J].Scientometrics,2012,91(1):303-308.
[23]Schubert A.Jazz discometrics-A network approach[J].Journal of Informetrics,2012,6(4):480-484.
[24]Ajiferuke I,Burell Q,Tague J.Collaborative coefficient:A single measure of the degree of collaboration in research[J].Scientomet-rics,1988,14(5-6):421-433.
[25]高志,张志强.个人学术影响力定量评价方法研究综述[J].情报理论与实践,2016,39(1):133-138.
[26]陈秀娟,郭进京.科研人员选择巨型OA期刊发文的影响因素分析——以PLoS ONE为例[J].中国科技期刊研究,2018,29(6):586-591.
[27]余世英,陈芳芳.基于共词分析的数字出版研究热点分析[J].科技与出版,2013(8):81-85.
[2]郑海燕.SSCI和A&HCI收录中国人文社会科学合著论文统计分析(1995~2004年)[J].社会科学管理与评论,2007(4):47-55.
[3]National Center for Science and Technology Evaluation,Clari-vate Analytics.Chinas International scientific research collabora-tion-A bibliometric analysis[R].China:National Center for Sci-ence and Technology Evaluation,Clarivate Analytics,2018:1-69.
[4]Beaver D D,Rosen R.Studies in scientific collaboration[J].Sci-entometrics,1978,1(1):65-84.
[5]李霖,贺凤兰.从期刊论文的合著现象看高水平研究成果的产出[J].图书馆工作与研究,2007(2):26-28.
[6]Sooryamoorthy R.Do types of collaboration change citation?Collaboration and citation patterns of South African science pub-lications[J].Scientometrics,2009,81(1):177.
[7]Abramo G,D.Angelo C A,Solazzi M.The relationship between scientists.research performance and the degree of international-ization of their research[J].Scientometrics,2011,86(3):629-643.
[8]Abramo G,D.Angelo C A,Costa F D,et al.University-industry collaboration in Italy:A bibliometric examination[J].Technova-tion,2009,29(6):498-507.
[9]卢东.图书情报学领域作者合著方式对科研质量的影响分析——基于SciVal对中国高产机构的样本分析[J].现代情报,2015,35(9):111-115.
[10]邱均平,温芳芳.作者合作程度与科研产出的相关性分析——基于“图书情报档案学”高产作者的计量分析[J].科技进步与对策,2011,28(5):1-5.
[11]李纲,刘先红.科研团队中学术带头人的合作特征及其对科研产出的影响[J].情报理论与实践,2016,39(6):70-75.
[12]田江,段妮.科研成果与合作的关联性研究-以供应链为例[C]//全国科技评价学术研讨会.2015.
[13]李文聪,沙思颖,高雅,等.从合著网络及其变化看干细胞研究领域的国际科研合作[J].数学的实践与认识,2016,46(10):68-76.
[14]He Z L,Geng X S,Campbell-Hunt C.Research collaboration and research output:A longitudinal study of 65 biomedical scientists in a New Zealand university[J].Research Policy,2009,38(2):306-317.
[15]Gl?nzel W,Lange C D.A distributional approach to multination-ality measures of international scientific collaboration[J].Sciento-metrics,2002,54(1):75-89.
[16]邱均平,马凤.微观层次的引用与合作之间关系的研究——以三位中国图书情报学核心作者为例[J].情报理论与实践,2011,34(10):43-47.
[17]邱均平,温芳芳.近五年来图书情报学研究热点与前沿的可视化分析——基于13种高影响力外文源刊的计量研究[J].中国图书馆学报,2011,37(2):51-60.
[18]王伟.信息计量学及其医学应用[M].北京:人民卫生出版社,2014.
[19]朱丽娟,李丽娜.科研合作计量指标研究述评[J].情报杂志,2013,32(6):76-79.
[20]林聚任.社会网络分析:理论、方法与应用[M].北京:北京师范大学出版社,2009.
[21]姜鑫.基于“结构洞”视角的组织社会网络内隐性知识共享研究[J].情报资料工作,2012,33(1):32-36.
[22]Schubert A.A Hirsch-type index of co-author partnership ability[J].Scientometrics,2012,91(1):303-308.
[23]Schubert A.Jazz discometrics-A network approach[J].Journal of Informetrics,2012,6(4):480-484.
[24]Ajiferuke I,Burell Q,Tague J.Collaborative coefficient:A single measure of the degree of collaboration in research[J].Scientomet-rics,1988,14(5-6):421-433.
[25]高志,张志强.个人学术影响力定量评价方法研究综述[J].情报理论与实践,2016,39(1):133-138.
[26]陈秀娟,郭进京.科研人员选择巨型OA期刊发文的影响因素分析——以PLoS ONE为例[J].中国科技期刊研究,2018,29(6):586-591.
[27]余世英,陈芳芳.基于共词分析的数字出版研究热点分析[J].科技与出版,2013(8):81-85.