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DICOMweb™: Background and Application of the Web Standard 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 (#19 of 1,123)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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30 X users
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1 patent

Citations

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35 Dimensions

Readers on

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41 Mendeley
Title
DICOMweb™: Background and Application of the Web Standard for Medical Imaging
Published in
Journal of Digital Imaging, May 2018
DOI 10.1007/s10278-018-0073-z
Pubmed ID
Authors

Brad W. Genereaux, Donald K. Dennison, Kinson Ho, Robert Horn, Elliot Lewis Silver, Kevin O’Donnell, Charles E. Kahn

Abstract

This paper describes why and how DICOM, the standard that has been the basis for medical imaging interoperability around the world for several decades, has been extended into a full web technology-based standard, DICOMweb. At the turn of the century, healthcare embraced information technology, which created new problems and new opportunities for the medical imaging industry; at the same time, web technologies matured and began serving other domains well. This paper describes DICOMweb, how it extended the DICOM standard, and how DICOMweb can be applied to problems facing healthcare applications to address workflow and the changing healthcare climate.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Doctoral Student 4 10%
Researcher 4 10%
Student > Ph. D. Student 4 10%
Other 3 7%
Other 6 15%
Unknown 12 29%
Readers by discipline Count As %
Computer Science 8 20%
Medicine and Dentistry 7 17%
Engineering 3 7%
Agricultural and Biological Sciences 2 5%
Nursing and Health Professions 2 5%
Other 6 15%
Unknown 13 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 28 December 2022.
All research outputs
#1,427,547
of 25,067,172 outputs
Outputs from Journal of Digital Imaging
#19
of 1,123 outputs
Outputs of similar age
#30,320
of 332,132 outputs
Outputs of similar age from Journal of Digital Imaging
#3
of 32 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 98% 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 332,132 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 90% of its contemporaries.
We're also able to compare this research output to 32 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 93% of its contemporaries.