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PathwayMultiomics: An R Package for Efficient Integrative Analysis of Multi-Omics Datasets With Matched or Un-matched Samples

Overview of attention for article published in Frontiers in Genetics, December 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
6 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
17 Mendeley
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Title
PathwayMultiomics: An R Package for Efficient Integrative Analysis of Multi-Omics Datasets With Matched or Un-matched Samples
Published in
Frontiers in Genetics, December 2021
DOI 10.3389/fgene.2021.783713
Pubmed ID
Authors

Gabriel J. Odom, Antonio Colaprico, Tiago C. Silva, X. Steven Chen, Lily Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 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 %
Researcher 4 24%
Student > Ph. D. Student 4 24%
Professor 1 6%
Unknown 8 47%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 35%
Neuroscience 1 6%
Engineering 1 6%
Unknown 9 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 12 January 2022.
All research outputs
#4,238,845
of 24,829,155 outputs
Outputs from Frontiers in Genetics
#1,316
of 13,368 outputs
Outputs of similar age
#95,771
of 512,013 outputs
Outputs of similar age from Frontiers in Genetics
#55
of 799 outputs
Altmetric has tracked 24,829,155 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 90% 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 512,013 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 80% of its contemporaries.
We're also able to compare this research output to 799 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.