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The Orthanc Ecosystem for Medical Imaging

Overview of attention for article published in Journal of Digital Imaging, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 654)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
23 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
17 Mendeley
Title
The Orthanc Ecosystem for Medical Imaging
Published in
Journal of Digital Imaging, May 2018
DOI 10.1007/s10278-018-0082-y
Pubmed ID
Authors

Sébastien Jodogne

Abstract

This paper reviews the components of Orthanc, a free and open-source, highly versatile ecosystem for medical imaging. At the core of the Orthanc ecosystem, the Orthanc server is a lightweight vendor neutral archive that provides PACS managers with a powerful environment to automate and optimize the imaging flows that are very specific to each hospital. The Orthanc server can be extended with plugins that provide solutions for teleradiology, digital pathology, or enterprise-ready databases. It is shown how software developers and research engineers can easily develop external software or Web portals dealing with medical images, with minimal knowledge of the DICOM standard, thanks to the advanced programming interface of the Orthanc server. The paper concludes by introducing the Stone of Orthanc, an innovative toolkit for the cross-platform rendering of medical images.

Twitter Demographics

The data shown below were collected from the profiles of 23 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 47%
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Professor 1 6%
Other 1 6%
Other 2 12%
Readers by discipline Count As %
Computer Science 5 29%
Medicine and Dentistry 3 18%
Neuroscience 3 18%
Agricultural and Biological Sciences 2 12%
Unspecified 2 12%
Other 2 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 16 April 2019.
All research outputs
#830,519
of 13,226,211 outputs
Outputs from Journal of Digital Imaging
#17
of 654 outputs
Outputs of similar age
#31,510
of 268,348 outputs
Outputs of similar age from Journal of Digital Imaging
#3
of 23 outputs
Altmetric has tracked 13,226,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 654 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 97% 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 268,348 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 88% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.