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Analyzing microtomography data with Python and the scikit-image library

Overview of attention for article published in Advanced Structural and Chemical Imaging, December 2016
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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 (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
9 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
128 Mendeley
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Title
Analyzing microtomography data with Python and the scikit-image library
Published in
Advanced Structural and Chemical Imaging, December 2016
DOI 10.1186/s40679-016-0031-0
Pubmed ID
Authors

Emmanuelle Gouillart, Juan Nunez-Iglesias, Stéfan van der Walt

Abstract

The exploration and processing of images is a vital aspect of the scientific workflows of many X-ray imaging modalities. Users require tools that combine interactivity, versatility, and performance. scikit-image is an open-source image processing toolkit for the Python language that supports a large variety of file formats and is compatible with 2D and 3D images. The toolkit exposes a simple programming interface, with thematic modules grouping functions according to their purpose, such as image restoration, segmentation, and measurements. scikit-image users benefit from a rich scientific Python ecosystem that contains many powerful libraries for tasks such as visualization or machine learning. scikit-image combines a gentle learning curve, versatile image processing capabilities, and the scalable performance required for the high-throughput analysis of X-ray imaging data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Unknown 127 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 27%
Researcher 21 16%
Student > Master 17 13%
Professor 5 4%
Student > Bachelor 5 4%
Other 16 13%
Unknown 29 23%
Readers by discipline Count As %
Computer Science 18 14%
Engineering 18 14%
Materials Science 15 12%
Physics and Astronomy 11 9%
Earth and Planetary Sciences 7 5%
Other 21 16%
Unknown 38 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 October 2019.
All research outputs
#4,028,395
of 22,908,162 outputs
Outputs from Advanced Structural and Chemical Imaging
#7
of 31 outputs
Outputs of similar age
#78,893
of 419,655 outputs
Outputs of similar age from Advanced Structural and Chemical Imaging
#3
of 6 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one scored the same or higher as 24 of them.
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 419,655 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 81% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.