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1.
Health Res Policy Syst ; 20(1): 118, 2022 Oct 31.
Article in English | MEDLINE | ID: mdl-36316736

ABSTRACT

BACKGROUND: The way in which research impact is evaluated and assessed has long been under debate. In recent years the focus is moving away from the use of numerical indicators, towards an emphasis on narratives. The Dutch university medical centres (UMCs) have a long-standing tradition of using bibliometric indicators. Because of the declining interest in indicators alone, this study was designed to repurpose bibliometrics to answer specific strategic questions. In this article we discuss the strategic and policy-based questions, the methodology we used in uncovering relevant information and conclusions we draw from the analyses we performed. The aim of this article is to inform a broader audience about the potential applications of bibliometric information to support a new form of research intelligence. METHODS: In this study we used a curated set of publications from the UMCs. We performed different bibliometric analyses and used bibliometric visualization tools to shed light on research focus, open science practices, collaboration, societal impact and scientific impact. RESULTS: The analyses allowed us to visualize and contextualize the research focus of the UMCs as a whole, but also to show specific focus areas of each UMC. The UMCs are active in the full spectrum of biomedical research, and at the same time are very complementary to each other. Furthermore, we were able to show the development of open access of UMC publications over time, to support the national mission. Visualizing collaboration is a powerful way of showing both the international orientation and the regional and national engine function of UMCs in research. We were able to assess societal impact by looking at the different channels in which publications find their way to societally relevant sources such as news media, policy documents and guidelines. Finally, we assessed scientific impact and put this into an international perspective. CONCLUSIONS: Research intelligence is able to transform bibliometric information by interpretation and annotation into highly relevant insights that can be used for several different strategic purposes and for research impact assessment in general.


Subject(s)
Bibliometrics , Biomedical Research , Humans , Academic Medical Centers , Intelligence
2.
Angiogenesis ; 5(4): 257-65, 2002.
Article in English | MEDLINE | ID: mdl-12911012

ABSTRACT

Angiogenesis, or the formation of new microvessels, is often encountered in pathological situations. A fibrinous exudate can often act as a temporary matrix for the ingrowth of these new microvessels. This matrix consists mainly of fibrin, but is mingled with other plasma components and interstitial collagen fibres. In vitro, capillary-like tube formation can be mimicked by exposing human microvascular endothelial cells (hMVECs), seeded on top of a three-dimensional fibrin matrix, to an angiogenic growth factor (e.g. fibroblast growth factor (FGF)-2) and the cytokine tumour necrosis factor (TNF)-alpha. Plasmin activity is required in this process. We investigated whether the angiogenic potential of hMVECs was altered by the presence of collagen. The addition of type I collagen to fibrin matrices dose-dependently inhibited tube-formation. Tube-formation in these fibrin/collagen matrices by hMVECs required matrix metalloprotease (MMP) activity, as well as plasmin activity. On a pure collagen type I matrix, hMVECs were not able to form tube-like structures in the matrix but formed sprouts. This sprouting required MMP activity and was, in contrast to the tube-like structures in a fibrin matrix, not influenced by hypoxia. These data indicate that the interaction between endothelial cells and different matrix components is of importance for the angiogenic potential of these cells.


Subject(s)
Collagen Type I/pharmacology , Endothelium, Vascular/drug effects , Fibrin/metabolism , Neovascularization, Physiologic/drug effects , Cell Culture Techniques/methods , Collagen Type I/metabolism , Dose-Response Relationship, Drug , Endothelium, Vascular/cytology , Humans , Hypoxia , Matrix Metalloproteinases/metabolism , Microcirculation/cytology , Urokinase-Type Plasminogen Activator/metabolism
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