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Correcting gradient-based interpretations of deep neural networks for genomics

Overview of attention for article published in Genome Biology, May 2023
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
twitter
24 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Correcting gradient-based interpretations of deep neural networks for genomics
Published in
Genome Biology, May 2023
DOI 10.1186/s13059-023-02956-3
Pubmed ID
Authors

Antonio Majdandzic, Chandana Rajesh, Peter K. Koo

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 3 20%
Unspecified 1 7%
Student > Bachelor 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 5 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Agricultural and Biological Sciences 2 13%
Unspecified 1 7%
Computer Science 1 7%
Physics and Astronomy 1 7%
Other 0 0%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 86. 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 19 November 2023.
All research outputs
#503,814
of 25,784,004 outputs
Outputs from Genome Biology
#279
of 4,517 outputs
Outputs of similar age
#11,167
of 404,911 outputs
Outputs of similar age from Genome Biology
#5
of 90 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,517 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 93% 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 404,911 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 97% of its contemporaries.
We're also able to compare this research output to 90 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 94% of its contemporaries.