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Exploring the relationship between motor impairment, vascular burden and cognition in Parkinson’s disease

Overview of attention for article published in Journal of Neurology, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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1 news outlet
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6 X users

Citations

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31 Dimensions

Readers on

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86 Mendeley
Title
Exploring the relationship between motor impairment, vascular burden and cognition in Parkinson’s disease
Published in
Journal of Neurology, March 2018
DOI 10.1007/s00415-018-8838-3
Pubmed ID
Authors

Tanja Stojkovic, Elka Stefanova, Ivan Soldatovic, Vladana Markovic, Iva Stankovic, Igor Petrovic, Federica Agosta, Sebastiano Galantucci, Massimo Filippi, Vladimir Kostic

Abstract

To determine frequency and type of cognitive disorders in cross-sectional analysis of a Parkinson's disease (PD) cohort, and explore its relations to motor symptoms, modifiable vascular risk factors and white matter lesions (WML) volume. In a group of 133 PD patients, mild cognitive impairment (PD-MCI) and dementia (PDD) were diagnosed according to Movement Disorders Society Task Force criteria (level 2 for PD-MCI). Detailed motor measurements were applied, including rigidity, axial, bradykinesia, tremor and postural instability gait disorders (PIGD) scores. Vascular risk was estimated by the Framingham General Cardiovascular Disease risk scoring algorithm and WML volume was measured for whole brain and frontal lobe. Sixty-one (46.9%) patients fulfilled criteria for PD-MCI, and 23 (17.7%) for PDD. Non-amnestic multiple domain MCI was most frequent (52% of PD-MCI patients). Motor scores were significantly higher in cognitively impaired patients, but only axial score discriminated between MCI and dementia. High vascular risk was related to impaired cognition, bradykinesia, axial, PIGD and freezing of gait (FOG) score, while whole brain WML volume was associated with PDD, FOG and attention deficits. Furthermore, high vascular risk was identified as a potential predictor of both MCI and dementia in PD. Additionally, age and bradykinesia score were independently associated with PD-MCI and age, axial score and whole brain WML volume with PDD. Cognitive disorders in PD are associated with more severe, predominantly axial motor deficits and increased, but partly modifiable vascular burden, thus opening a possibility for development of preventive strategies in PD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 13%
Researcher 8 9%
Student > Master 7 8%
Other 7 8%
Student > Ph. D. Student 6 7%
Other 12 14%
Unknown 35 41%
Readers by discipline Count As %
Neuroscience 10 12%
Medicine and Dentistry 9 10%
Psychology 8 9%
Nursing and Health Professions 5 6%
Agricultural and Biological Sciences 2 2%
Other 7 8%
Unknown 45 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 18 October 2018.
All research outputs
#2,227,838
of 23,028,364 outputs
Outputs from Journal of Neurology
#401
of 4,524 outputs
Outputs of similar age
#50,511
of 331,443 outputs
Outputs of similar age from Journal of Neurology
#6
of 79 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,524 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 91% 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 331,443 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 79 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 92% of its contemporaries.