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Prodromal Markers in Parkinson’s Disease: Limitations in Longitudinal Studies and Lessons Learned

Overview of attention for article published in Frontiers in Aging Neuroscience, June 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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2 news outlets
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Citations

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31 Dimensions

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121 Mendeley
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Title
Prodromal Markers in Parkinson’s Disease: Limitations in Longitudinal Studies and Lessons Learned
Published in
Frontiers in Aging Neuroscience, June 2016
DOI 10.3389/fnagi.2016.00147
Pubmed ID
Authors

Sebastian Heinzel, Benjamin Roeben, Yoav Ben-Shlomo, Stefanie Lerche, Guido Alves, Paolo Barone, Stefanie Behnke, Henk W. Berendse, Bastiaan R. Bloem, David Burn, Richard Dodel, Donald G. Grosset, Michele Hu, Meike Kasten, Rejko Krüger, Marcello Moccia, Brit Mollenhauer, Wolfgang Oertel, Ulrike Suenkel, Uwe Walter, Karin Wirdefeldt, Inga Liepelt-Scarfone, Walter Maetzler, Daniela Berg

Abstract

A growing body of evidence supports a prodromal neurodegenerative process preceding the clinical onset of Parkinson's disease (PD). Studies have identified several different prodromal markers that may have the potential to predict the conversion from healthy to clinical PD but use considerably different approaches. We systematically reviewed 35 longitudinal studies reporting prodromal PD features and evaluated the methodological quality across 10 different predefined domains. We found limitations in the following domains: PD diagnosis (57% of studies), prodromal marker assessments (51%), temporal information on prodromal markers or PD diagnosis (34%), generalizability of results (17%), statistical methods (accounting for at least age as confounder; 17%), study design (14%), and sample size (9%). However, no limitations regarding drop-out (or bias investigation), or report of inclusion/exclusion criteria or prodromal marker associations were revealed. Lessons learned from these limitations and additional aspects of current prodromal marker studies in PD are discussed to provide a basis for the evaluation of findings and the improvement of future research in prodromal PD. The observed heterogeneity of studies, limitations and analyses might be addressed in future longitudinal studies using a, yet to be established, modular minimal set of assessments improving comparability of findings and enabling data sharing and combined analyses across studies.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 21%
Other 13 11%
Student > Doctoral Student 13 11%
Student > Ph. D. Student 12 10%
Student > Bachelor 10 8%
Other 28 23%
Unknown 20 17%
Readers by discipline Count As %
Medicine and Dentistry 30 25%
Neuroscience 26 21%
Agricultural and Biological Sciences 7 6%
Biochemistry, Genetics and Molecular Biology 7 6%
Psychology 7 6%
Other 17 14%
Unknown 27 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2023.
All research outputs
#1,911,826
of 24,032,151 outputs
Outputs from Frontiers in Aging Neuroscience
#530
of 5,117 outputs
Outputs of similar age
#35,404
of 358,749 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#7
of 92 outputs
Altmetric has tracked 24,032,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,117 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 358,749 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.