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Associating brain imaging phenotypes and genetic risk factors via a hypergraph based netNMF method

Overview of attention for article published in Frontiers in Aging Neuroscience, March 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 (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Associating brain imaging phenotypes and genetic risk factors via a hypergraph based netNMF method
Published in
Frontiers in Aging Neuroscience, March 2023
DOI 10.3389/fnagi.2023.1052783
Pubmed ID
Authors

Junli Zhuang, Jinping Tian, Xiaoxing Xiong, Taihan Li, Zhengwei Chen, Rong Chen, Jun Chen, Xiang Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Lecturer 1 20%
Unknown 2 40%
Readers by discipline Count As %
Chemical Engineering 1 20%
Unspecified 1 20%
Computer Science 1 20%
Unknown 2 40%
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 24 March 2023.
All research outputs
#4,357,371
of 23,578,918 outputs
Outputs from Frontiers in Aging Neuroscience
#2,103
of 4,980 outputs
Outputs of similar age
#80,301
of 405,074 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#65
of 199 outputs
Altmetric has tracked 23,578,918 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 4,980 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 53% 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 405,074 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 79% of its contemporaries.
We're also able to compare this research output to 199 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 53% of its contemporaries.