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Dove Medical Press

From mild cognitive impairment to subjective cognitive decline: conceptual and methodological evolution

Overview of attention for article published in Neuropsychiatric Disease and Treatment, February 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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
215 Mendeley
Title
From mild cognitive impairment to subjective cognitive decline: conceptual and methodological evolution
Published in
Neuropsychiatric Disease and Treatment, February 2017
DOI 10.2147/ndt.s123428
Pubmed ID
Authors

Yu-Wen Cheng, Ta-Fu Chen, Ming-Jang Chiu

Abstract

Identification of subjects at the early stages of Alzheimer's disease (AD) is fundamental for drug development and possible intervention or prevention of cognitive decline. The concept of mild cognitive impairment (MCI) evolved during the past two decades to define subjects at the transitional stage between normal aging and dementia. Evidence from cross-sectional and longitudinal studies has shown that MCI is associated with an increased risk of positive AD biomarkers and an increased annual conversion rate of 5%-17% to AD. The presence of AD biomarkers in subjects with MCI was associated with an even higher risk of progression to dementia. However, earlier clinical trials for pharmacotherapy in subjects with MCI were disappointing. To extend the spectrum of AD to an earlier stage before MCI, subjective cognitive decline (SCD) was introduced and was defined as self-reported cognitive decline before the deficits could be detected by cognitive tests. Subjects with SCD have an increased risk of underlying AD pathology. However, SCD can also develop secondary to other heterogeneous etiologies, including other neurodegenerative and psychiatric diseases, personality traits, physical conditions, and medication use. Several clinical and biomarker features were proposed to predict risk of conversion to AD in subjects with SCD. Further longitudinal studies are needed to support the validity of these high-risk features.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 215 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 17%
Researcher 32 15%
Student > Master 32 15%
Student > Bachelor 22 10%
Student > Doctoral Student 12 6%
Other 34 16%
Unknown 47 22%
Readers by discipline Count As %
Psychology 44 20%
Neuroscience 38 18%
Medicine and Dentistry 28 13%
Agricultural and Biological Sciences 7 3%
Biochemistry, Genetics and Molecular Biology 5 2%
Other 30 14%
Unknown 63 29%
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 18 November 2021.
All research outputs
#2,477,685
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#309
of 3,120 outputs
Outputs of similar age
#49,457
of 426,137 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#9
of 74 outputs
Altmetric has tracked 25,584,565 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 3,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 89% 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 426,137 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 88% of its contemporaries.
We're also able to compare this research output to 74 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.