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GeneWalk identifies relevant gene functions for a biological context using network representation learning

Overview of attention for article published in Genome Biology, February 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
291 X users
facebook
1 Facebook page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
222 Mendeley
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Title
GeneWalk identifies relevant gene functions for a biological context using network representation learning
Published in
Genome Biology, February 2021
DOI 10.1186/s13059-021-02264-8
Pubmed ID
Authors

Robert Ietswaart, Benjamin M. Gyori, John A. Bachman, Peter K. Sorger, L. Stirling Churchman

X Demographics

X Demographics

The data shown below were collected from the profiles of 291 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 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 222 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 27%
Researcher 46 21%
Student > Master 27 12%
Student > Doctoral Student 11 5%
Student > Bachelor 9 4%
Other 27 12%
Unknown 43 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 68 31%
Agricultural and Biological Sciences 39 18%
Computer Science 13 6%
Neuroscience 10 5%
Medicine and Dentistry 9 4%
Other 33 15%
Unknown 50 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 175. 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 14 September 2023.
All research outputs
#231,632
of 25,515,042 outputs
Outputs from Genome Biology
#80
of 4,484 outputs
Outputs of similar age
#6,976
of 529,015 outputs
Outputs of similar age from Genome Biology
#2
of 87 outputs
Altmetric has tracked 25,515,042 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 98% 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 529,015 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 87 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 98% of its contemporaries.