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Hub Genes, Diagnostic Model, and Predicted Drugs Related to Iron Metabolism in Alzheimer's Disease

Overview of attention for article published in Frontiers in Aging Neuroscience, July 2022
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Hub Genes, Diagnostic Model, and Predicted Drugs Related to Iron Metabolism in Alzheimer's Disease
Published in
Frontiers in Aging Neuroscience, July 2022
DOI 10.3389/fnagi.2022.949083
Pubmed ID
Authors

Xuefeng Gu, Donglin Lai, Shuang Liu, Kaijie Chen, Peng Zhang, Bing Chen, Gang Huang, Xiaoqin Cheng, Changlian Lu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 16%
Researcher 3 12%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Unspecified 1 4%
Other 1 4%
Unknown 13 52%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 16%
Medicine and Dentistry 3 12%
Psychology 2 8%
Unspecified 1 4%
Chemical Engineering 1 4%
Other 1 4%
Unknown 13 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 August 2022.
All research outputs
#2,883,619
of 24,185,663 outputs
Outputs from Frontiers in Aging Neuroscience
#1,119
of 5,157 outputs
Outputs of similar age
#60,632
of 424,494 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#61
of 342 outputs
Altmetric has tracked 24,185,663 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,157 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 done well, scoring higher than 77% 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 424,494 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 85% of its contemporaries.
We're also able to compare this research output to 342 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.