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Systematic review of the prevalence and incidence of Parkinson’s disease in the People’s Republic of China

Overview of attention for article published in Neuropsychiatric Disease and Treatment, June 2015
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
3 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
32 Mendeley
Title
Systematic review of the prevalence and incidence of Parkinson’s disease in the People’s Republic of China
Published in
Neuropsychiatric Disease and Treatment, June 2015
DOI 10.2147/ndt.s85380
Pubmed ID
Authors

Yong-ming Zou, Jia Liu, Zhi-yan Tian, Da Lu, Yu-ying Zhou

Abstract

Parkinson's disease (PD) is a common neurodegenerative disease, and obtaining accurate epidemiological data for this disease is very important for policy-making in public health. The purpose of this study was to determine the prevalence and incidence of PD in the People's Republic of China and explore possible future research directions. We systematically retrieved studies of the prevalence and incidence of PD in the People's Republic of China, Taiwan, and Hong Kong, and standardized the data according to the world's population in 2000. Fifteen eligible studies were retrieved. Most were cross-sectional studies, and two thirds of the research was from the People's Republic of China. The prevalence of PD was reported in all the studies, but only two studies reported incidence data. The prevalence of PD in the People's Republic of China ranged from 16 to 440.3/100,000, and the annual incidence ranged from 1.5 to 8.7/100,000. The prevalence of PD in the People's Republic of China has been widely investigated in the studies published to date. However, due to methodological heterogeneity, the data reported by the different studies are not comparable. There is still a lack of information on the incidence of PD in the People's Republic of China. Therefore, future research is required to answer this question.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 19%
Student > Doctoral Student 6 19%
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Researcher 3 9%
Other 8 25%
Readers by discipline Count As %
Medicine and Dentistry 9 28%
Neuroscience 6 19%
Unspecified 5 16%
Agricultural and Biological Sciences 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 7 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 July 2015.
All research outputs
#1,165,613
of 12,517,383 outputs
Outputs from Neuropsychiatric Disease and Treatment
#177
of 2,120 outputs
Outputs of similar age
#24,327
of 199,262 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#8
of 84 outputs
Altmetric has tracked 12,517,383 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 2,120 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 199,262 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 87% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.