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A semiautomatic tool for prostate segmentation in radiotherapy treatment planning

Overview of attention for article published in BMC Medical Imaging, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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6 X users

Citations

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5 Dimensions

Readers on

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20 Mendeley
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Title
A semiautomatic tool for prostate segmentation in radiotherapy treatment planning
Published in
BMC Medical Imaging, January 2014
DOI 10.1186/1471-2342-14-4
Pubmed ID
Authors

Jörn Schulz, Stein Olav Skrøvseth, Veronika Kristine Tømmerås, Kirsten Marienhagen, Fred Godtliebsen

Abstract

Delineation of the target volume is a time-consuming task in radiotherapy treatment planning, yet essential for a successful treatment of cancers such as prostate cancer. To facilitate the delineation procedure, the paper proposes an intuitive approach for 3D modeling of the prostate by slice-wise best fitting ellipses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
Switzerland 1 5%
Unknown 17 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 40%
Student > Ph. D. Student 5 25%
Student > Master 3 15%
Student > Doctoral Student 1 5%
Other 1 5%
Other 0 0%
Unknown 2 10%
Readers by discipline Count As %
Medicine and Dentistry 7 35%
Computer Science 3 15%
Agricultural and Biological Sciences 2 10%
Physics and Astronomy 2 10%
Nursing and Health Professions 1 5%
Other 2 10%
Unknown 3 15%
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 19 March 2014.
All research outputs
#7,531,333
of 24,417,958 outputs
Outputs from BMC Medical Imaging
#96
of 638 outputs
Outputs of similar age
#86,387
of 316,626 outputs
Outputs of similar age from BMC Medical Imaging
#6
of 12 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 638 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 84% 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 316,626 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 72% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.