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Audiovisual . 2026
License: CC BY
Data sources: ZENODO
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Audiovisual . 2026
License: CC BY
Data sources: Datacite
ZENODO
Audiovisual . 2026
License: CC BY
Data sources: Datacite
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MJFF Data Community Webinar: Getting the best out of MDS rating scales

Authors: Bayram, Ece; Qamar, Mubasher A;

MJFF Data Community Webinar: Getting the best out of MDS rating scales

Abstract

This webinar is designed for clinicians and/or researchers who use tools such as the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) to assess Parkinson’s disease (PD) severity and progression. Presented by Dr. Ece Bayram (University of Colorado) and Dr. Mubasher Qamar (King’s College London), this presentation aims to help you get the most out of the MDS rating scales. Dr. Bayram and Dr. Qamar currently serve as the chair and vice chair, respectively, of the MDS Clinical Outcome Assessments (COA) Training and Education Committee, affording them valuable insight on how to best use MDS scales, how to implement them in study designs, and how to interpret the data. Dr. Bayram and Dr. Qamar will also provide a general overview as to what goes into the development of these scales, as well as which trainings are available. This webinar was organized by the the Michael J. Fox Foundation's Data Community of Practice (DCoP). Do you have ideas or suggestions for other webinar topics you would like to see? Is there a tool you feel the community would benefit from highlighting? Let us know by leaving your thoughts in this thread: Seeking Webinar Ideas and Requests from the Community, or by contacting researchcommunity@michaeljfox.org. For those interested in joining or contributing to the DCoP, please visit rcop.michaeljfox.org.

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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!
0
Average
Average
Average