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Network heterogeneity, scientific performance and medical innovation

Authors: D'Este Cukierman, Pablo; Llopis Córcoles, Óscar; McKelvey, Maureen; Ramos-Vielba, Irene; Yegros Yegros, Alfredo;

Network heterogeneity, scientific performance and medical innovation

Abstract

Research networks have particular social and economic resonance in the field of biomedical research. This study will investigate how biomedical research networks could better facilitate scientific and technological progress. Specifically, we focus on two aspects: the heterogeneity of institutions where network partners are embedded and the most frequent benefit that individuals obtain from their set of network contacts. Our results indicate that, while network heterogeneity is positively related to technological progress, it exerts a negative effect on scientific discoveries. Moreover, this effect appears to be contingent on the dominant benefit characterizing each network.

Resumen del trabajo presentado a la R&D Management Conference: “From Science to Society: Innovation and Value Creation”, celebrada en Cambridge (UK) del 3 al 6 de junio de 2016.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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