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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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ZENODO
Dataset . 2021
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University of Twente Research Information
Dataset
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Maastricht University | MUMC+ Research Information
Dataset
License: CC BY
Data sources: Maastricht University | MUMC+ Research Information
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Claim

Expert elicitation data on future perspectives regarding whole genome sequencing in clinical oncology

Research datakeyboard_double_arrow_right Dataset 31 Mar 2021 Netherlands English Publisher:Zenodo
Authors: Michiel van de Ven; Martijn Simons; Hendrik Koffijberg; Manuela Joore; Maarten Ijzerman; Valesca Retèl; Wim van Harten;

doi: 10.5281/zenodo.4650465 , 10.5281/zenodo.4650466 , 10.5281/zenodo.4733508

Expert elicitation data on future perspectives regarding whole genome sequencing in clinical oncology

Abstract

This dataset contains data on: (1) barriers and facilitators that were prioritized from most to least important by international experts in a pilot survey, (2) expert elicitations on likelihoods of future scenarios regarding the implementation of whole genome sequencing within the field of clinical oncology.

The "Technology Assessment of Next Generation Sequencing in Personalized Oncology" (TANGO) project is funded by the ZonMw Personalised Medicine Programme under Dossier number: 846001002 in collaboration with KWF and Zilveren Kruis. The project period is 31 December 2016 – 31 May 2021.

Country
Netherlands
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Keywords

Facilitators, Uncertainty, Likelihood, NSCLC, Expert elicitation, Oncology, Non-small cell lung cancer, Whole genome sequencing, Next generation sequencing, NGS, Implementation, Advanced cancer, Molecular diagnostics, Disruptive technology, Scenario drafting, Survey, WGS, Barriers

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    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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visibility
download
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
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
11
4
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Cancer Research