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Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis

Overview of attention for article published in Frontiers in oncology, March 2021
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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 (70th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
175 Dimensions

Readers on

mendeley
200 Mendeley
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Title
Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis
Published in
Frontiers in oncology, March 2021
DOI 10.3389/fonc.2021.638182
Pubmed ID
Authors

Ruixin Yang, Yingyan Yu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 200 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 14%
Student > Master 25 13%
Researcher 13 7%
Student > Bachelor 13 7%
Unspecified 10 5%
Other 19 10%
Unknown 93 47%
Readers by discipline Count As %
Computer Science 53 27%
Engineering 22 11%
Unspecified 11 6%
Biochemistry, Genetics and Molecular Biology 5 3%
Medicine and Dentistry 4 2%
Other 11 6%
Unknown 94 47%
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 24 May 2023.
All research outputs
#15,928,411
of 25,655,374 outputs
Outputs from Frontiers in oncology
#5,067
of 22,758 outputs
Outputs of similar age
#245,125
of 454,235 outputs
Outputs of similar age from Frontiers in oncology
#275
of 1,000 outputs
Altmetric has tracked 25,655,374 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,758 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 75% 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 454,235 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 1,000 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 70% of its contemporaries.