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Evaluation of the Objective Posturo-Locomotor-Manual Method in Patients with Parkinsonian Syndromes

Overview of attention for article published in Frontiers in Neurology, January 2013
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Title
Evaluation of the Objective Posturo-Locomotor-Manual Method in Patients with Parkinsonian Syndromes
Published in
Frontiers in Neurology, January 2013
DOI 10.3389/fneur.2013.00095
Pubmed ID
Authors

Theresa Zackrisson, Filip Bergquist, Björn Holmberg, Bo Johnels, Thorleif Thorlin

Abstract

Objective methods for quantifying patients' movement capacity would be useful in evaluating progression and interventions in neurodegenerative diseases. The Posturo-Locomotor-Manual (PLM) test is a standardized automated movement test developed to measure hypokinetic movements in patients with Parkinsonism. Our hypotheses were that the PLM movement time (MT) correlates with the Unified Parkinson's disease rating scale (UPDRS III) motor section, and that the components of the PLM test correlate with the corresponding constructed domains of UPDRS III. We also evaluated the coherence between the results of the two assessment methods after a test dose of levodopa (l-DOPA). We assessed motor function using the PLM method and UPDRS III in parallel, in the absence of medication and after administration of 200 mg l-DOPA, in 73 patients with moderate to advanced Parkinsonism: 47 with Parkinson's disease (PD), 17 with multiple system atrophy (MSA), and 9 with progressive supranuclear palsy (PSP). There was a fair correlation between the two assessment tools in the PD patients but not in the MSA or PSP patients. In the full dataset, there was a fair to good correlation between UPDRS III and the PLM MT. At group level, the UPDRS III l-DOPA test differentiated PD from MSA/PSP, whereas the PLM l-DOPA test differentiated between all three diagnoses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 17%
Researcher 3 17%
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Bachelor 2 11%
Other 2 11%
Unknown 4 22%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Nursing and Health Professions 3 17%
Psychology 2 11%
Computer Science 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 July 2013.
All research outputs
#20,196,270
of 22,714,025 outputs
Outputs from Frontiers in Neurology
#8,628
of 11,620 outputs
Outputs of similar age
#248,772
of 280,752 outputs
Outputs of similar age from Frontiers in Neurology
#117
of 210 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,620 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.