Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship....Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.Design/methodology/approach: In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.Findings: As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers’ specialization and dissemination strategies.Research limitations: The dataset used is limited to one country for the years 2000–2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.Practical implications: Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.Originality/value: The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.展开更多
凤凰雪茶是一种药食两用植物,具有较大的应用开发价值,本研究拟采用超高效液相色谱-四极杆-飞行时间串联质谱技术(ultra performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry,UPLC-Q-TOF-MS/MS)联...凤凰雪茶是一种药食两用植物,具有较大的应用开发价值,本研究拟采用超高效液相色谱-四极杆-飞行时间串联质谱技术(ultra performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry,UPLC-Q-TOF-MS/MS)联和全球天然产物交互分子网络(global natural products social molecular networking,GNPS)技术对凤凰雪茶的化学成分进行快速分析鉴定。在正、负离子模式下采集质谱数据,通过软件分析、数据库匹配、对照品比对等鉴别出相应化合物,并根据MS/MS碎片的相似性创建分子网络。从凤凰雪茶中共鉴定出58个化学成分,主要包括33个黄酮类、11个酚类、4个生物碱类、3个三萜类和其他类化合物。原儿茶酸-4-葡萄糖苷、杨梅素-3-芸香糖苷、积雪草酸等32个化合物首次在葡萄科蛇葡萄属得到鉴定,并进一步探讨了各类别化合物的质谱裂解规律以及黄酮类网络节点的关联分析。本研究运用液质联用结合GNPS技术可以快速实现对凤凰雪茶的成分的系统性分析,为其探究临床应用、质量控制及药效物质基础提供参考。展开更多
文摘Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.Design/methodology/approach: In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.Findings: As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers’ specialization and dissemination strategies.Research limitations: The dataset used is limited to one country for the years 2000–2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.Practical implications: Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.Originality/value: The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.
文摘凤凰雪茶是一种药食两用植物,具有较大的应用开发价值,本研究拟采用超高效液相色谱-四极杆-飞行时间串联质谱技术(ultra performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry,UPLC-Q-TOF-MS/MS)联和全球天然产物交互分子网络(global natural products social molecular networking,GNPS)技术对凤凰雪茶的化学成分进行快速分析鉴定。在正、负离子模式下采集质谱数据,通过软件分析、数据库匹配、对照品比对等鉴别出相应化合物,并根据MS/MS碎片的相似性创建分子网络。从凤凰雪茶中共鉴定出58个化学成分,主要包括33个黄酮类、11个酚类、4个生物碱类、3个三萜类和其他类化合物。原儿茶酸-4-葡萄糖苷、杨梅素-3-芸香糖苷、积雪草酸等32个化合物首次在葡萄科蛇葡萄属得到鉴定,并进一步探讨了各类别化合物的质谱裂解规律以及黄酮类网络节点的关联分析。本研究运用液质联用结合GNPS技术可以快速实现对凤凰雪茶的成分的系统性分析,为其探究临床应用、质量控制及药效物质基础提供参考。
