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Highly recurrent CBS epimutations in gastric cancer CpG island methylator phenotypes and inflammation

Overview of attention for article published in Genome Biology, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
10 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Highly recurrent CBS epimutations in gastric cancer CpG island methylator phenotypes and inflammation
Published in
Genome Biology, June 2021
DOI 10.1186/s13059-021-02375-2
Pubmed ID
Authors

Nisha Padmanabhan, Huang Kie Kyon, Arnoud Boot, Kevin Lim, Supriya Srivastava, Shuwen Chen, Zhiyuan Wu, Hyung-Ok Lee, Vineeth T. Mukundan, Charlene Chan, Yarn Kit Chan, Ong Xuewen, Jason J. Pitt, Zul Fazreen Adam Isa, Manjie Xing, Ming Hui Lee, Angie Lay Keng Tan, Shamaine Ho Wei Ting, Micah A. Luftig, Dennis Kappei, Warren D. Kruger, Jinsong Bian, Ying Swan Ho, Ming Teh, Steve George Rozen, Patrick Tan

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Researcher 3 15%
Student > Bachelor 2 10%
Student > Master 2 10%
Lecturer > Senior Lecturer 1 5%
Other 1 5%
Unknown 7 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 20%
Agricultural and Biological Sciences 2 10%
Medicine and Dentistry 2 10%
Nursing and Health Professions 1 5%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 9 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 23 June 2021.
All research outputs
#2,370,215
of 25,392,582 outputs
Outputs from Genome Biology
#1,930
of 4,470 outputs
Outputs of similar age
#59,054
of 459,810 outputs
Outputs of similar age from Genome Biology
#54
of 95 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 56% 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 459,810 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 87% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.