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Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling

Overview of attention for article published in Frontiers in Aging Neuroscience, April 2022
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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 (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling
Published in
Frontiers in Aging Neuroscience, April 2022
DOI 10.3389/fnagi.2022.850217
Pubmed ID
Authors

Jiaxin Zhou, Qingyong Li, Wensi Wu, Xiaojun Zhang, Zhiyi Zuo, Yanan Lu, Huiying Zhao, Zhi Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 3 18%
Student > Bachelor 1 6%
Unknown 9 53%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 24%
Agricultural and Biological Sciences 1 6%
Decision Sciences 1 6%
Neuroscience 1 6%
Unknown 10 59%
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 06 May 2022.
All research outputs
#4,291,863
of 23,312,088 outputs
Outputs from Frontiers in Aging Neuroscience
#2,065
of 4,938 outputs
Outputs of similar age
#96,549
of 440,134 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#118
of 345 outputs
Altmetric has tracked 23,312,088 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 4,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 54% 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 440,134 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 77% of its contemporaries.
We're also able to compare this research output to 345 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 58% of its contemporaries.