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Development of a diagnostic and risk prediction model for Alzheimer’s disease through integration of single-cell and bulk transcriptomic analysis of glutamine metabolism

Overview of attention for article published in Frontiers in Aging Neuroscience, November 2023
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Readers on

mendeley
9 Mendeley
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Title
Development of a diagnostic and risk prediction model for Alzheimer’s disease through integration of single-cell and bulk transcriptomic analysis of glutamine metabolism
Published in
Frontiers in Aging Neuroscience, November 2023
DOI 10.3389/fnagi.2023.1275793
Pubmed ID
Authors

Yan Guo, Tingru Zhao, Xi Chu, Zhenyun Cheng

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 11%
Student > Master 1 11%
Unknown 7 78%
Readers by discipline Count As %
Neuroscience 1 11%
Medicine and Dentistry 1 11%
Unknown 7 78%
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 01 December 2023.
All research outputs
#19,570,644
of 24,927,532 outputs
Outputs from Frontiers in Aging Neuroscience
#4,334
of 5,373 outputs
Outputs of similar age
#162,192
of 253,611 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#63
of 81 outputs
Altmetric has tracked 24,927,532 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,373 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 14th percentile – i.e., 14% 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 253,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.