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ZENODO
Other ORP type . 2019
License: CC BY
Data sources: Datacite
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Other ORP type . 2019
License: CC BY
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The 5th Newsletter of the Patient Empowerment through Predictive Personalised Decision Support (PEPPER) Project

appsOther research productkeyboard_double_arrow_right Other ORP type 01 Mar 2019Publisher:ZenodoFunded by:EC | PEPPER
Authors: Martin, Clare;

doi: 10.5281/zenodo.2581442 , 10.5281/zenodo.2581441

The 5th Newsletter of the Patient Empowerment through Predictive Personalised Decision Support (PEPPER) Project

Abstract

Welcome to the fifth issue of the PEPPER Project newsletter. We are now in the final stage of the project, which is the clinical validation of the PEPPER system. So you will find news about how the study is progressing with over 50 patients recruited between the two centres: Imperial College Healthcare NHS Trust, London, UK and Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta, Spain. You can also read about how one of the participants on the study, Goretti Mallorqui, has taken part in her first ever half marathon. Goretti is using the Cellnovo pump version of the PEPPER system. Finally, please do take a look at our new video, released in December 2018, which showcases some detail about the science underpinning the project: https://www.tinyurl.com/pepper2018 If you would like to offer us any feedback please contact contact_pepper@googlegroups.com

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citations
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).
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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.
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.
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