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Seasonal temperature is associated with Parkinson’s disease prescriptions: an ecological study

Overview of attention for article published in International Journal of Biometeorology, August 2017
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
facebook
1 Facebook page

Citations

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7 Dimensions

Readers on

mendeley
23 Mendeley
Title
Seasonal temperature is associated with Parkinson’s disease prescriptions: an ecological study
Published in
International Journal of Biometeorology, August 2017
DOI 10.1007/s00484-017-1427-9
Pubmed ID
Authors

David Rowell, Son Nghiem, Sreeram Ramagopalan, Ute-Christiane Meier

Abstract

The aim of this study is to test what effect the weather may have on medications prescribed to treat Parkinson's disease. Twenty-three years of monthly time, series data was sourced from the Pharmaceutical Benefits Scheme (PBS) and the Bureau of Meteorology (BOM). Data were available for eight states and territories and their corresponding capital cities. The dependent variable was the aggregate levodopa equivalent dose (LED) for 51 Parkinson's medications identified on the PBS. Two explanatory variables of interest, temperature and solar exposure, were identified in the BOM data set. Linear and cosinor models were estimated with fixed and random effects, respectively. The prescribed LED was 4.2% greater in January and 4.5% lower in July. Statistical analysis showed that temperature was associated with the prescription of Parkinson medications. Our results suggest seasonality exists in Parkinson's disease symptoms and this may be related to temperature. Further work is needed to confirm these findings and understand the underlying mechanisms as a better understanding of the causes of any seasonal variation in Parkinson's disease may help clinicians and patients manage the disease more effectively.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 26%
Student > Bachelor 5 22%
Student > Doctoral Student 2 9%
Student > Ph. D. Student 2 9%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Computer Science 1 4%
Immunology and Microbiology 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Sports and Recreations 1 4%
Other 3 13%
Unknown 10 43%
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 11 September 2017.
All research outputs
#2,235,767
of 22,999,744 outputs
Outputs from International Journal of Biometeorology
#196
of 1,299 outputs
Outputs of similar age
#44,913
of 315,743 outputs
Outputs of similar age from International Journal of Biometeorology
#11
of 39 outputs
Altmetric has tracked 22,999,744 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 1,299 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 84% 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 315,743 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 85% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.