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Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: A population-based study

Overview of attention for article published in Frontiers in Public Health, March 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: A population-based study
Published in
Frontiers in Public Health, March 2023
DOI 10.3389/fpubh.2023.1104931
Pubmed ID
Authors

Yuhan Zhang, Xinglin Yi, Zhe Tang, Pan Xie, Na Yin, Qiumiao Deng, Lin Zhu, Hu Luo, Kanfu Peng

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Master 1 17%
Unknown 4 67%
Readers by discipline Count As %
Unspecified 1 17%
Unknown 5 83%
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 24 March 2023.
All research outputs
#19,458,496
of 23,931,222 outputs
Outputs from Frontiers in Public Health
#6,637
of 11,797 outputs
Outputs of similar age
#293,939
of 401,067 outputs
Outputs of similar age from Frontiers in Public Health
#457
of 1,068 outputs
Altmetric has tracked 23,931,222 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,797 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 27th percentile – i.e., 27% 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 401,067 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,068 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.