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Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer

Overview of attention for article published in Genome Medicine, December 2022
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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 (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer
Published in
Genome Medicine, December 2022
DOI 10.1186/s13073-022-01143-6
Pubmed ID
Authors

Chen Yang, Senquan Zhang, Zhuoan Cheng, Zhicheng Liu, Linmeng Zhang, Kai Jiang, Haigang Geng, Ruolan Qian, Jun Wang, Xiaowen Huang, Mo Chen, Zhe Li, Wenxin Qin, Qiang Xia, Xiaonan Kang, Cun Wang, Hualian Hang

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 2 12%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Student > Master 1 6%
Researcher 1 6%
Other 1 6%
Unknown 10 59%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 12%
Agricultural and Biological Sciences 1 6%
Sports and Recreations 1 6%
Social Sciences 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 11 65%
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 15 February 2023.
All research outputs
#3,337,558
of 23,567,572 outputs
Outputs from Genome Medicine
#736
of 1,466 outputs
Outputs of similar age
#66,163
of 445,417 outputs
Outputs of similar age from Genome Medicine
#15
of 29 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 445,417 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 84% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.