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Bioinformatics analysis and prediction of Alzheimer’s disease and alcohol dependence based on Ferroptosis-related genes

Overview of attention for article published in Frontiers in Aging Neuroscience, July 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Bioinformatics analysis and prediction of Alzheimer’s disease and alcohol dependence based on Ferroptosis-related genes
Published in
Frontiers in Aging Neuroscience, July 2023
DOI 10.3389/fnagi.2023.1201142
Pubmed ID
Authors

Mei Tian, Jing Shen, Zhiqiang Qi, Yu Feng, Peidi Fang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 29%
Student > Master 1 14%
Unknown 4 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Immunology and Microbiology 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 August 2023.
All research outputs
#4,539,906
of 24,211,034 outputs
Outputs from Frontiers in Aging Neuroscience
#2,198
of 5,160 outputs
Outputs of similar age
#53,730
of 255,423 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#31
of 80 outputs
Altmetric has tracked 24,211,034 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,160 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 52% 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 255,423 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 78% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.