↓ Skip to main content

CancerClock: A DNA Methylation Age Predictor to Identify and Characterize Aging Clock in Pan-Cancer

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, December 2019
Altmetric Badge

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)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
5 X users
patent
2 patents

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
30 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
CancerClock: A DNA Methylation Age Predictor to Identify and Characterize Aging Clock in Pan-Cancer
Published in
Frontiers in Bioengineering and Biotechnology, December 2019
DOI 10.3389/fbioe.2019.00388
Pubmed ID
Authors

Tongtong Zhu, Yue Gao, Junwei Wang, Xin Li, Shipeng Shang, Yanxia Wang, Shuang Guo, Hanxiao Zhou, Hongjia Liu, Dailin Sun, Hong Chen, Li Wang, Shangwei Ning

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Master 6 20%
Researcher 4 13%
Student > Doctoral Student 1 3%
Other 1 3%
Other 1 3%
Unknown 10 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 37%
Agricultural and Biological Sciences 3 10%
Medicine and Dentistry 2 7%
Computer Science 1 3%
Mathematics 1 3%
Other 0 0%
Unknown 12 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 April 2024.
All research outputs
#5,709,670
of 26,289,377 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#907
of 8,703 outputs
Outputs of similar age
#124,225
of 483,432 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#36
of 178 outputs
Altmetric has tracked 26,289,377 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,703 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 89% 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 483,432 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 178 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.