↓ Skip to main content

A Deep Learning Image Data Augmentation Method for Single Tumor Segmentation

Overview of attention for article published in Frontiers in oncology, February 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
20 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
A Deep Learning Image Data Augmentation Method for Single Tumor Segmentation
Published in
Frontiers in oncology, February 2022
DOI 10.3389/fonc.2022.782988
Pubmed ID
Authors

Chunling Zhang, Nan Bao, Hang Sun, Hong Li, Jing Li, Wei Qian, Shi Zhou

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 10%
Student > Ph. D. Student 2 10%
Unspecified 1 5%
Lecturer 1 5%
Professor 1 5%
Other 2 10%
Unknown 11 55%
Readers by discipline Count As %
Computer Science 3 15%
Unspecified 1 5%
Nursing and Health Professions 1 5%
Environmental Science 1 5%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 12 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 March 2022.
All research outputs
#16,589,826
of 26,166,431 outputs
Outputs from Frontiers in oncology
#5,842
of 22,913 outputs
Outputs of similar age
#287,444
of 546,983 outputs
Outputs of similar age from Frontiers in oncology
#368
of 1,549 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 70% 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 546,983 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,549 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 71% of its contemporaries.