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A Novel Nomogram Model to Predict the Recurrence-Free Survival and Overall Survival of Hepatocellular Carcinoma

Overview of attention for article published in Frontiers in oncology, July 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
4 Mendeley
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Title
A Novel Nomogram Model to Predict the Recurrence-Free Survival and Overall Survival of Hepatocellular Carcinoma
Published in
Frontiers in oncology, July 2022
DOI 10.3389/fonc.2022.946531
Pubmed ID
Authors

Shu-Wen Zhang, Ning-Ning Zhang, Wen-Wen Zhu, Tian Liu, Jia-Yu Lv, Wen-Tao Jiang, Ya-Min Zhang, Tian-Qiang Song, Li Zhang, Yan Xie, Yong-He Zhou, Wei Lu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Student > Postgraduate 1 25%
Unknown 2 50%
Readers by discipline Count As %
Medicine and Dentistry 2 50%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 January 2024.
All research outputs
#4,918,159
of 26,169,168 outputs
Outputs from Frontiers in oncology
#1,702
of 22,913 outputs
Outputs of similar age
#96,730
of 438,201 outputs
Outputs of similar age from Frontiers in oncology
#116
of 1,770 outputs
Altmetric has tracked 26,169,168 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 92% 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 438,201 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 1,770 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.