↓ Skip to main content

Manual Refinement System for Graph-Based Segmentation Results in the Medical Domain

Overview of attention for article published in Journal of Medical Systems, August 2011
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
15 Mendeley
Title
Manual Refinement System for Graph-Based Segmentation Results in the Medical Domain
Published in
Journal of Medical Systems, August 2011
DOI 10.1007/s10916-011-9761-7
Pubmed ID
Authors

Jan Egger, Rivka R. Colen, Bernd Freisleben, Christopher Nimsky

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Researcher 3 20%
Student > Bachelor 1 7%
Other 1 7%
Professor 1 7%
Other 1 7%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 6 40%
Engineering 5 33%
Medicine and Dentistry 1 7%
Neuroscience 1 7%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 August 2017.
All research outputs
#4,711,393
of 22,854,458 outputs
Outputs from Journal of Medical Systems
#155
of 1,150 outputs
Outputs of similar age
#25,343
of 120,908 outputs
Outputs of similar age from Journal of Medical Systems
#1
of 4 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,150 research outputs from this source. They receive a mean Attention Score of 4.5. 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 120,908 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 74% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them