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PMINR: Pointwise Mutual Information-Based Network Regression – With Application to Studies of Lung Cancer and Alzheimer’s Disease

Overview of attention for article published in Frontiers in Genetics, October 2020
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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 (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
10 Mendeley
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Title
PMINR: Pointwise Mutual Information-Based Network Regression – With Application to Studies of Lung Cancer and Alzheimer’s Disease
Published in
Frontiers in Genetics, October 2020
DOI 10.3389/fgene.2020.556259
Pubmed ID
Authors

Weiqiang Lin, Jiadong Ji, Yuchen Zhu, Mingzhuo Li, Jinghua Zhao, Fuzhong Xue, Zhongshang Yuan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Student > Bachelor 1 10%
Other 1 10%
Unknown 7 70%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 20%
Unknown 8 80%
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 20 November 2020.
All research outputs
#4,281,115
of 23,262,131 outputs
Outputs from Frontiers in Genetics
#1,345
of 12,290 outputs
Outputs of similar age
#105,711
of 416,077 outputs
Outputs of similar age from Frontiers in Genetics
#60
of 446 outputs
Altmetric has tracked 23,262,131 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 12,290 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 88% 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 416,077 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 73% of its contemporaries.
We're also able to compare this research output to 446 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.