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Computational reproducibility of Jupyter notebooks from biomedical publications

Overview of attention for article published in Giga Science, January 2024
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
69 X users
facebook
2 Facebook pages
reddit
1 Redditor

Readers on

mendeley
18 Mendeley
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Title
Computational reproducibility of Jupyter notebooks from biomedical publications
Published in
Giga Science, January 2024
DOI 10.1093/gigascience/giad113
Pubmed ID
Authors

Sheeba Samuel, Daniel Mietchen

X Demographics

X Demographics

The data shown below were collected from the profiles of 69 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Unspecified 2 11%
Professor 2 11%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 11%
Unspecified 2 11%
Agricultural and Biological Sciences 2 11%
Chemical Engineering 1 6%
Nursing and Health Professions 1 6%
Other 3 17%
Unknown 7 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 February 2024.
All research outputs
#1,123,581
of 25,806,763 outputs
Outputs from Giga Science
#173
of 1,182 outputs
Outputs of similar age
#17,580
of 357,198 outputs
Outputs of similar age from Giga Science
#2
of 26 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. This one has done well, scoring higher than 85% 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 357,198 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 95% of its contemporaries.
We're also able to compare this research output to 26 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 92% of its contemporaries.