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Conserved Disease Modules Extracted From Multilayer Heterogeneous Disease and Gene Networks for Understanding Disease Mechanisms and Predicting Disease Treatments

Overview of attention for article published in Frontiers in Genetics, January 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Conserved Disease Modules Extracted From Multilayer Heterogeneous Disease and Gene Networks for Understanding Disease Mechanisms and Predicting Disease Treatments
Published in
Frontiers in Genetics, January 2019
DOI 10.3389/fgene.2018.00745
Pubmed ID
Authors

Liang Yu, Shunyu Yao, Lin Gao, Yunhong Zha

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Student > Bachelor 4 13%
Student > Ph. D. Student 4 13%
Researcher 2 6%
Student > Doctoral Student 1 3%
Other 4 13%
Unknown 13 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 13%
Computer Science 4 13%
Agricultural and Biological Sciences 2 6%
Immunology and Microbiology 2 6%
Economics, Econometrics and Finance 1 3%
Other 4 13%
Unknown 15 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 February 2019.
All research outputs
#14,140,660
of 23,942,830 outputs
Outputs from Frontiers in Genetics
#3,435
of 12,757 outputs
Outputs of similar age
#221,928
of 442,919 outputs
Outputs of similar age from Frontiers in Genetics
#103
of 298 outputs
Altmetric has tracked 23,942,830 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,757 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 71% 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 442,919 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 298 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 61% of its contemporaries.