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Gene Set Index Based on Different Modules May Help Differentiate the Mechanisms of Alzheimer’s Disease and Vascular Dementia

Overview of attention for article published in Clinical Interventions in Aging, March 2021
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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 (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
7 Mendeley
Title
Gene Set Index Based on Different Modules May Help Differentiate the Mechanisms of Alzheimer’s Disease and Vascular Dementia
Published in
Clinical Interventions in Aging, March 2021
DOI 10.2147/cia.s297483
Pubmed ID
Authors

Fengkun Zhou, Deyao Chen, Guoying Chen, Peiling Liao, Rongjie Li, Qingfang Nong, Youshi Meng, Donghua Zou, Xianfeng Li

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%
Researcher 1 14%
Unknown 4 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Nursing and Health Professions 1 14%
Medicine and Dentistry 1 14%
Unknown 4 57%

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 26 March 2021.
All research outputs
#3,708,435
of 20,582,425 outputs
Outputs from Clinical Interventions in Aging
#408
of 1,731 outputs
Outputs of similar age
#85,898
of 327,292 outputs
Outputs of similar age from Clinical Interventions in Aging
#4
of 6 outputs
Altmetric has tracked 20,582,425 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 1,731 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 74% 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 327,292 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.