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Urban–rural disparities in mild cognitive impairment and its functional subtypes among community-dwelling older residents in central China

Overview of attention for article published in General Psychiatry, October 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 155)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
2 news outlets
twitter
3 X users

Citations

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14 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Urban–rural disparities in mild cognitive impairment and its functional subtypes among community-dwelling older residents in central China
Published in
General Psychiatry, October 2021
DOI 10.1136/gpsych-2021-100564
Pubmed ID
Authors

Dan Liu, Lin Li, Lina An, Guirong Cheng, Cong Chen, Mingjun Zou, Bo Zhang, Xuguang Gan, Lang Xu, Yangming Ou, Qingming Wu, Ru Wang, Yan Zeng

Abstract

Substantial variations in the prevalence of mild cognitive impairment (MCI) and its subtypes have been reported, although mostly in geographically defined developed countries and regions. Less is known about MCI and its subtypes in rural areas of less developed central China. The study aimed to compare the prevalence of MCI and its subtypes in residents aged 65 years or older in urban and rural areas of Hubei Province, China. Participants aged 65 years or older were recruited between 2018 and 2019. Inperson structured interviews and clinical and neuropsychological assessments were performed at city health community centres and township hospitals. Among 2644 participants without dementia, 735 had MCI, resulting in a prevalence of 27.8% for total MCI, 20.9% for amnestic MCI (aMCI) and 6.9% for non-amnestic MCI (naMCI). The prevalence of MCI in urban and rural areas was 20.2% and 44.1%, respectively. After adjusting for demographic factors, the prevalence of total MCI, aMCI and naMCI differed significantly between rural and urban areas (adjusted odds ratio (OR) 2.10, 1.44 and 3.76, respectively). Subgroup analysis revealed an association between rural socioeconomic and lifestyle disadvantage and MCI and its subtypes. Our findings suggest that the prevalence of MCI among urban residents in central China is consistent with that in other metropolis areas, such as Shanghai, but the prevalence in rural areas is twice that in urban areas. Prospective studies and dementia prevention in China should focus on rural areas.

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Lecturer > Senior Lecturer 2 17%
Student > Doctoral Student 2 17%
Student > Bachelor 1 8%
Unknown 5 42%
Readers by discipline Count As %
Linguistics 1 8%
Nursing and Health Professions 1 8%
Psychology 1 8%
Social Sciences 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 7 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 26 November 2021.
All research outputs
#2,407,140
of 25,988,468 outputs
Outputs from General Psychiatry
#34
of 155 outputs
Outputs of similar age
#53,797
of 446,824 outputs
Outputs of similar age from General Psychiatry
#1
of 9 outputs
Altmetric has tracked 25,988,468 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 155 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.4. This one has done particularly well, scoring higher than 99% 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 446,824 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them