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A system based on deep convolutional neural network improves the detection of early gastric cancer

Overview of attention for article published in Frontiers in oncology, December 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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2 Dimensions

Readers on

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5 Mendeley
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Title
A system based on deep convolutional neural network improves the detection of early gastric cancer
Published in
Frontiers in oncology, December 2022
DOI 10.3389/fonc.2022.1021625
Pubmed ID
Authors

Jie Feng, Shang rui Yu, Yao ping Zhang, Lina Qu, Lina Wei, Peng fei Wang, Li juan Zhu, Yanfeng Bao, Xiao gang Lei, Liang liang Gao, Yan hu Feng, Yi Yu, Xiao jun Huang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 20%
Lecturer 1 20%
Unknown 3 60%
Readers by discipline Count As %
Unspecified 1 20%
Nursing and Health Professions 1 20%
Unknown 3 60%
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 January 2023.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Frontiers in oncology
#9,334
of 22,436 outputs
Outputs of similar age
#334,958
of 478,059 outputs
Outputs of similar age from Frontiers in oncology
#752
of 1,496 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 49th percentile – i.e., 49% 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 478,059 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 1,496 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.