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SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research

Overview of attention for article published in Journal of Digital Imaging, November 2017
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

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295 Dimensions

Readers on

mendeley
251 Mendeley
Title
SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research
Published in
Journal of Digital Imaging, November 2017
DOI 10.1007/s10278-017-0037-8
Pubmed ID
Authors

Ziv Yaniv, Bradley C. Lowekamp, Hans J. Johnson, Richard Beare

Abstract

Modern scientific endeavors increasingly require team collaborations to construct and interpret complex computational workflows. This work describes an image-analysis environment that supports the use of computational tools that facilitate reproducible research and support scientists with varying levels of software development skills. The Jupyter notebook web application is the basis of an environment that enables flexible, well-documented, and reproducible workflows via literate programming. Image-analysis software development is made accessible to scientists with varying levels of programming experience via the use of the SimpleITK toolkit, a simplified interface to the Insight Segmentation and Registration Toolkit. Additional features of the development environment include user friendly data sharing using online data repositories and a testing framework that facilitates code maintenance. SimpleITK provides a large number of examples illustrating educational and research-oriented image analysis workflows for free download from GitHub under an Apache 2.0 license: github.com/InsightSoftwareConsortium/SimpleITK-Notebooks .

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 251 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 16%
Researcher 33 13%
Student > Master 31 12%
Student > Bachelor 31 12%
Student > Doctoral Student 13 5%
Other 28 11%
Unknown 76 30%
Readers by discipline Count As %
Engineering 47 19%
Computer Science 37 15%
Medicine and Dentistry 22 9%
Physics and Astronomy 10 4%
Biochemistry, Genetics and Molecular Biology 9 4%
Other 40 16%
Unknown 86 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 24 November 2020.
All research outputs
#2,824,064
of 23,577,761 outputs
Outputs from Journal of Digital Imaging
#81
of 1,092 outputs
Outputs of similar age
#63,047
of 441,380 outputs
Outputs of similar age from Journal of Digital Imaging
#2
of 18 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,092 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 92% 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 441,380 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 85% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.