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STATegra: Multi-Omics Data Integration – A Conceptual Scheme With a Bioinformatics Pipeline

Overview of attention for article published in Frontiers in Genetics, March 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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
14 X users

Readers on

mendeley
128 Mendeley
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Title
STATegra: Multi-Omics Data Integration – A Conceptual Scheme With a Bioinformatics Pipeline
Published in
Frontiers in Genetics, March 2021
DOI 10.3389/fgene.2021.620453
Pubmed ID
Authors

Nuria Planell, Vincenzo Lagani, Patricia Sebastian-Leon, Frans van der Kloet, Ewoud Ewing, Nestoras Karathanasis, Arantxa Urdangarin, Imanol Arozarena, Maja Jagodic, Ioannis Tsamardinos, Sonia Tarazona, Ana Conesa, Jesper Tegner, David Gomez-Cabrero

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 16%
Student > Ph. D. Student 19 15%
Student > Bachelor 12 9%
Student > Master 11 9%
Other 6 5%
Other 18 14%
Unknown 41 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 25%
Agricultural and Biological Sciences 13 10%
Computer Science 9 7%
Immunology and Microbiology 6 5%
Medicine and Dentistry 6 5%
Other 15 12%
Unknown 47 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 06 April 2021.
All research outputs
#2,063,884
of 22,846,662 outputs
Outputs from Frontiers in Genetics
#480
of 11,854 outputs
Outputs of similar age
#56,523
of 418,147 outputs
Outputs of similar age from Frontiers in Genetics
#19
of 518 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,854 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 95% 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 418,147 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 86% of its contemporaries.
We're also able to compare this research output to 518 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 96% of its contemporaries.