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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 (90th percentile)

Mentioned by

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

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
191 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.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 191 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 18%
Researcher 29 15%
Student > Master 29 15%
Student > Bachelor 21 11%
Student > Doctoral Student 11 6%
Other 28 15%
Unknown 38 20%
Readers by discipline Count As %
Psychology 43 23%
Neuroscience 35 18%
Medicine and Dentistry 26 14%
Agricultural and Biological Sciences 7 4%
Computer Science 6 3%
Other 21 11%
Unknown 53 28%

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
#2,066,972
of 22,509,254 outputs
Outputs from Neuropsychiatric Disease and Treatment
#261
of 2,960 outputs
Outputs of similar age
#46,493
of 397,219 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#7
of 71 outputs
Altmetric has tracked 22,509,254 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 2,960 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. 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 397,219 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 71 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 90% of its contemporaries.