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Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys

Overview of attention for article published in Journal of Digital Imaging, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
105 Mendeley
Title
Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys
Published in
Journal of Digital Imaging, May 2017
DOI 10.1007/s10278-017-9978-1
Pubmed ID
Authors

Timothy L. Kline, Panagiotis Korfiatis, Marie E. Edwards, Jaime D. Blais, Frank S. Czerwiec, Peter C. Harris, Bernard F. King, Vicente E. Torres, Bradley J. Erickson

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 12%
Student > Master 12 11%
Student > Bachelor 11 10%
Researcher 9 9%
Student > Doctoral Student 8 8%
Other 18 17%
Unknown 34 32%
Readers by discipline Count As %
Medicine and Dentistry 29 28%
Engineering 10 10%
Computer Science 8 8%
Physics and Astronomy 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 11 10%
Unknown 40 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 March 2022.
All research outputs
#8,351,161
of 25,605,018 outputs
Outputs from Journal of Digital Imaging
#348
of 1,071 outputs
Outputs of similar age
#122,353
of 327,669 outputs
Outputs of similar age from Journal of Digital Imaging
#12
of 23 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,071 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 64% 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 327,669 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% 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 is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.