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Predicting mild cognitive impairment among Chinese older adults: a longitudinal study based on long short-term memory networks and machine learning

Overview of attention for article published in Frontiers in Aging Neuroscience, October 2023
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1 X user

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13 Mendeley
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Title
Predicting mild cognitive impairment among Chinese older adults: a longitudinal study based on long short-term memory networks and machine learning
Published in
Frontiers in Aging Neuroscience, October 2023
DOI 10.3389/fnagi.2023.1283243
Pubmed ID
Authors

Yucheng Huang, Zishuo Huang, Qingren Yang, Haojie Jin, Tingke Xu, Yating Fu, Yue Zhu, Xiangyang Zhang, Chun Chen

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 8%
Student > Ph. D. Student 1 8%
Researcher 1 8%
Other 1 8%
Unknown 9 69%
Readers by discipline Count As %
Medicine and Dentistry 2 15%
Neuroscience 1 8%
Nursing and Health Professions 1 8%
Unknown 9 69%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 November 2023.
All research outputs
#22,216,966
of 24,791,202 outputs
Outputs from Frontiers in Aging Neuroscience
#4,838
of 5,333 outputs
Outputs of similar age
#179,985
of 225,693 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#64
of 73 outputs
Altmetric has tracked 24,791,202 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,333 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 225,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.