↓ Skip to main content

Generalization vs. Specificity: In Which Cases Should a Clinic Train its Own Segmentation Models?

Overview of attention for article published in Frontiers in oncology, May 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Generalization vs. Specificity: In Which Cases Should a Clinic Train its Own Segmentation Models?
Published in
Frontiers in oncology, May 2020
DOI 10.3389/fonc.2020.00675
Pubmed ID
Authors

Jan Schreier, Francesca Attanasi, Hannu Laaksonen

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Master 3 18%
Student > Ph. D. Student 2 12%
Other 2 12%
Student > Bachelor 1 6%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Medicine and Dentistry 3 18%
Biochemistry, Genetics and Molecular Biology 1 6%
Mathematics 1 6%
Arts and Humanities 1 6%
Agricultural and Biological Sciences 1 6%
Other 3 18%
Unknown 7 41%
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 29 November 2020.
All research outputs
#17,297,846
of 25,387,668 outputs
Outputs from Frontiers in oncology
#8,033
of 22,433 outputs
Outputs of similar age
#271,550
of 421,059 outputs
Outputs of similar age from Frontiers in oncology
#182
of 472 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 58% 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 421,059 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 472 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 56% of its contemporaries.