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Computed tomography-based deep-learning prediction of lymph node metastasis risk in locally advanced gastric cancer

Overview of attention for article published in Frontiers in oncology, September 2022
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Mentioned by

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1 X user

Citations

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Readers on

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10 Mendeley
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Title
Computed tomography-based deep-learning prediction of lymph node metastasis risk in locally advanced gastric cancer
Published in
Frontiers in oncology, September 2022
DOI 10.3389/fonc.2022.969707
Pubmed ID
Authors

An-qi Zhang, Hui-ping Zhao, Fei Li, Pan Liang, Jian-bo Gao, Ming Cheng

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Unknown 7 70%
Readers by discipline Count As %
Nursing and Health Professions 1 10%
Chemistry 1 10%
Unknown 8 80%
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 10 October 2022.
All research outputs
#23,888,153
of 26,589,077 outputs
Outputs from Frontiers in oncology
#16,905
of 23,335 outputs
Outputs of similar age
#377,639
of 442,598 outputs
Outputs of similar age from Frontiers in oncology
#1,548
of 1,753 outputs
Altmetric has tracked 26,589,077 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,335 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% 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 442,598 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,753 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.