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Long-read transcriptome sequencing reveals abundant promoter diversity in distinct molecular subtypes of gastric cancer

Overview of attention for article published in Genome Biology, January 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 (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
22 X users

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
94 Mendeley
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Title
Long-read transcriptome sequencing reveals abundant promoter diversity in distinct molecular subtypes of gastric cancer
Published in
Genome Biology, January 2021
DOI 10.1186/s13059-021-02261-x
Pubmed ID
Authors

Kie Kyon Huang, Jiawen Huang, Jeanie Kar Leng Wu, Minghui Lee, Su Ting Tay, Vikrant Kumar, Kalpana Ramnarayanan, Nisha Padmanabhan, Chang Xu, Angie Lay Keng Tan, Charlene Chan, Dennis Kappei, Jonathan Göke, Patrick Tan

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 21%
Student > Ph. D. Student 16 17%
Student > Master 7 7%
Student > Bachelor 6 6%
Other 2 2%
Other 7 7%
Unknown 36 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 28%
Agricultural and Biological Sciences 17 18%
Immunology and Microbiology 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Environmental Science 2 2%
Other 7 7%
Unknown 37 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 18 April 2022.
All research outputs
#1,818,627
of 25,837,817 outputs
Outputs from Genome Biology
#1,502
of 4,513 outputs
Outputs of similar age
#50,616
of 534,703 outputs
Outputs of similar age from Genome Biology
#45
of 91 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 66% 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 534,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.