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Ten Simple Rules for Reproducible Research in Jupyter Notebooks

Overview of attention for article published in arXiv, October 2018
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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 (99th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
301 X users
facebook
3 Facebook pages

Readers on

mendeley
107 Mendeley
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Title
Ten Simple Rules for Reproducible Research in Jupyter Notebooks
Published in
arXiv, October 2018
Authors

Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose

X Demographics

X Demographics

The data shown below were collected from the profiles of 301 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 23 21%
Student > Master 14 13%
Student > Bachelor 10 9%
Other 8 7%
Other 12 11%
Unknown 17 16%
Readers by discipline Count As %
Computer Science 27 25%
Biochemistry, Genetics and Molecular Biology 12 11%
Engineering 7 7%
Neuroscience 7 7%
Agricultural and Biological Sciences 6 6%
Other 25 23%
Unknown 23 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 214. 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 31 January 2024.
All research outputs
#185,255
of 25,757,133 outputs
Outputs from arXiv
#1,953
of 942,018 outputs
Outputs of similar age
#3,672
of 359,568 outputs
Outputs of similar age from arXiv
#30
of 20,617 outputs
Altmetric has tracked 25,757,133 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 942,018 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 359,568 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 20,617 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 99% of its contemporaries.