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Multi-objective Parameter Auto-tuning for Tissue Image Segmentation Workflows

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

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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2 Dimensions

Readers on

mendeley
16 Mendeley
Title
Multi-objective Parameter Auto-tuning for Tissue Image Segmentation Workflows
Published in
Journal of Digital Imaging, November 2018
DOI 10.1007/s10278-018-0138-z
Pubmed ID
Authors

Luis F. R. Taveira, Tahsin Kurc, Alba C. M. A. Melo, Jun Kong, Erich Bremer, Joel H. Saltz, George Teodoro

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Other 2 13%
Student > Doctoral Student 2 13%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Other 4 25%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 8 50%
Engineering 2 13%
Social Sciences 1 6%
Environmental Science 1 6%
Neuroscience 1 6%
Other 1 6%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 November 2018.
All research outputs
#15,587,562
of 23,173,635 outputs
Outputs from Journal of Digital Imaging
#739
of 1,070 outputs
Outputs of similar age
#220,975
of 352,544 outputs
Outputs of similar age from Journal of Digital Imaging
#21
of 34 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,070 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 352,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.