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Institution

Maastricht University

EducationMaastricht, Limburg, Netherlands
About: Maastricht University is a education organization based out in Maastricht, Limburg, Netherlands. It is known for research contribution in the topics: Population & Health care. The organization has 19263 authors who have published 53291 publications receiving 2266866 citations. The organization is also known as: Universiteit Maastricht & UM.


Papers
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Journal ArticleDOI
TL;DR: In patients undergoing primary PCI, a CYP2C19 genotype-guided strategy for selection of oral P2Y12 inhibitor therapy was noninferior to standard treatment with ticagrelor or prasugrel at 12 months with respect to thrombotic events and resulted in a lower incidence of bleeding.
Abstract: Background It is unknown whether patients undergoing primary percutaneous coronary intervention (PCI) benefit from genotype-guided selection of oral P2Y12 inhibitors. Methods We conducted ...

388 citations

Journal ArticleDOI
TL;DR: The prerequisites for data commoning are described and an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision are presented.
Abstract: To make full use of research data, the bioscience community needs to adopt technologies and reward mechanisms that support interoperability and promote the growth of an open 'data commoning' culture. Here we describe the prerequisites for data commoning and present an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision.

387 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the interplay between social capital, innovation and economic growth in the European Union and found that higher innovation performance is conducive to economic growth and that social capital affects growth indirectly by fostering innovation.

387 citations

Journal ArticleDOI
TL;DR: The Quick Edit feature for pathway authors and curators is introduced, in addition to new means of publishing pathways and maintaining custom pathway collections to serve specific research topics and communities.
Abstract: WikiPathways (http://www.wikipathways.org) is an open, collaborative platform for capturing and disseminating models of biological pathways for data visualization and analysis. Since our last NAR update, 4 years ago, WikiPathways has experienced massive growth in content, which continues to be contributed by hundreds of individuals each year. New aspects of the diversity and depth of the collected pathways are described from the perspective of researchers interested in using pathway information in their studies. We provide updates on extensions and services to support pathway analysis and visualization via popular standalone tools, i.e. PathVisio and Cytoscape, web applications and common programming environments. We introduce the Quick Edit feature for pathway authors and curators, in addition to new means of publishing pathways and maintaining custom pathway collections to serve specific research topics and communities. In addition to the latest milestones in our pathway collection and curation effort, we also highlight the latest means to access the content as publishable figures, as standard data files, and as linked data, including bulk and programmatic access.

387 citations

Posted Content
TL;DR: In this paper, the authors employ data from an extensive European survey to produce one of the first systematic assessments of the private economic value of patents, which is significantly correlated with the number of patent citations, references, claims, and countries in which the patent is applied.
Abstract: This paper employs data from an extensive European survey to produce one of the first systematic assessments of the private economic value of patents. The estimated mean of our patent value distribution is higher than 3 million Euros, the median is about one-tenth, and the mode is around a few thousand Euros. This is in line with previous findings about the skewed distribution of patent values. Our measure is significantly correlated with the number of patent citations, references, claims, and countries in which the patent is applied. Citations explain value as much as the other three indicators combined, and the right tail of citations is correlated with the right tail of our value measure. Yet, the four indicators only explain 2.7% of the variance of patent value. Thus, while the use of these indicators as proxies for value, particularly citations, may be justified, predictions based on these indicators carry significant noise. After using country, technology, and patent class fixed effects, we only explain 11.3% of the variation in patent value. The measure of our ignorance about patent value is still sizable, which calls for additional research to fill the gap.

386 citations


Authors

Showing all 19492 results

NameH-indexPapersCitations
Edward Giovannucci2061671179875
Julie E. Buring186950132967
Aaron R. Folsom1811118134044
John J.V. McMurray1781389184502
Alvaro Pascual-Leone16596998251
Lex M. Bouter158767103034
David T. Felson153861133514
Walter Paulus14980986252
Michael Conlon O'Donovan142736118857
Randy L. Buckner141346110354
Philip Scheltens1401175107312
Anne Tjønneland139134591556
Ewout W. Steyerberg139122684896
James G. Herman138410120628
Andrew Steptoe137100373431
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023107
2022344
20214,523
20203,881
20193,367
20183,019