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A Novel Risk Factor Model Based on Glycolysis-Associated Genes for Predicting the Prognosis of Patients With Prostate Cancer

Overview of attention for article published in Frontiers in oncology, September 2021
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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 (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
17 Mendeley
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Title
A Novel Risk Factor Model Based on Glycolysis-Associated Genes for Predicting the Prognosis of Patients With Prostate Cancer
Published in
Frontiers in oncology, September 2021
DOI 10.3389/fonc.2021.605810
Pubmed ID
Authors

Kaixuan Guo, Cong Lai, Juanyi Shi, Zhuang Tang, Cheng Liu, Kuiqing Li, Kewei Xu

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Lecturer 1 6%
Other 1 6%
Student > Master 1 6%
Unknown 10 59%
Readers by discipline Count As %
Medicine and Dentistry 2 12%
Biochemistry, Genetics and Molecular Biology 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Nursing and Health Professions 1 6%
Engineering 1 6%
Other 0 0%
Unknown 10 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 October 2021.
All research outputs
#5,652,696
of 26,491,397 outputs
Outputs from Frontiers in oncology
#2,027
of 23,231 outputs
Outputs of similar age
#115,335
of 439,803 outputs
Outputs of similar age from Frontiers in oncology
#94
of 1,400 outputs
Altmetric has tracked 26,491,397 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,231 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% 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 439,803 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 1,400 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.