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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)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
10 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
85 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.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 84 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 28%
Researcher 15 18%
Student > Master 13 15%
Student > Bachelor 5 6%
Other 5 6%
Other 11 13%
Unknown 12 14%
Readers by discipline Count As %
Engineering 14 16%
Computer Science 13 15%
Materials Science 12 14%
Physics and Astronomy 9 11%
Medicine and Dentistry 5 6%
Other 15 18%
Unknown 17 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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
#2,183,115
of 14,692,315 outputs
Outputs from Advanced Structural and Chemical Imaging
#2
of 26 outputs
Outputs of similar age
#70,362
of 380,223 outputs
Outputs of similar age from Advanced Structural and Chemical Imaging
#2
of 7 outputs
Altmetric has tracked 14,692,315 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. 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 380,223 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.