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A Novel Prognostic Model and Practical Nomogram for Predicting the Outcomes of Colorectal Cancer: Based on Tumor Biomarkers and Log Odds of Positive Lymph Node Scheme

Overview of attention for article published in Frontiers in oncology, April 2021
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Mentioned by

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1 X user

Citations

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13 Dimensions

Readers on

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10 Mendeley
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Title
A Novel Prognostic Model and Practical Nomogram for Predicting the Outcomes of Colorectal Cancer: Based on Tumor Biomarkers and Log Odds of Positive Lymph Node Scheme
Published in
Frontiers in oncology, April 2021
DOI 10.3389/fonc.2021.661040
Pubmed ID
Authors

Jun Zhu, Jun Hao, Qian Ma, Tingyu Shi, Shuai Wang, Jingchuan Yan, Rujie Chen, Dong Xu, Yu Jiang, Jian Zhang, Jipeng Li

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.
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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 %
Student > Ph. D. Student 3 30%
Researcher 1 10%
Student > Postgraduate 1 10%
Unknown 5 50%
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Social Sciences 1 10%
Design 1 10%
Unknown 5 50%
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 03 May 2021.
All research outputs
#23,487,873
of 26,163,973 outputs
Outputs from Frontiers in oncology
#16,353
of 22,913 outputs
Outputs of similar age
#383,463
of 443,267 outputs
Outputs of similar age from Frontiers in oncology
#833
of 1,226 outputs
Altmetric has tracked 26,163,973 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 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. 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 443,267 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 1,226 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.