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A Multi-Cohort and Multi-Omics Meta-Analysis Framework to Identify Network-Based Gene Signatures

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

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
71 Mendeley
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Title
A Multi-Cohort and Multi-Omics Meta-Analysis Framework to Identify Network-Based Gene Signatures
Published in
Frontiers in Genetics, March 2019
DOI 10.3389/fgene.2019.00159
Pubmed ID
Authors

Adib Shafi, Tin Nguyen, Azam Peyvandipour, Hung Nguyen, Sorin Draghici

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Researcher 10 14%
Student > Master 9 13%
Other 4 6%
Student > Bachelor 3 4%
Other 12 17%
Unknown 15 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 34%
Agricultural and Biological Sciences 9 13%
Computer Science 6 8%
Medicine and Dentistry 5 7%
Neuroscience 2 3%
Other 6 8%
Unknown 19 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 June 2020.
All research outputs
#6,528,946
of 23,136,540 outputs
Outputs from Frontiers in Genetics
#2,012
of 12,179 outputs
Outputs of similar age
#124,480
of 351,874 outputs
Outputs of similar age from Frontiers in Genetics
#90
of 374 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 12,179 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 83% 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 351,874 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 63% of its contemporaries.
We're also able to compare this research output to 374 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.