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Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing

Overview of attention for article published in Journal of Translational Medicine, June 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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5 X users

Citations

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80 Dimensions

Readers on

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80 Mendeley
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Title
Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing
Published in
Journal of Translational Medicine, June 2019
DOI 10.1186/s12967-019-1941-0
Pubmed ID
Authors

Hui Cai, Changqing Jing, Xusheng Chang, Dan Ding, Ting Han, Junchi Yang, Zhengmao Lu, Xuguang Hu, Zhaorui Liu, Jinshen Wang, Liang Shang, Shouxin Wu, Peng Meng, Ling Lin, Jiangman Zhao, Mingming Nie, Kai Yin

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 18%
Student > Ph. D. Student 12 15%
Student > Bachelor 8 10%
Professor > Associate Professor 6 8%
Student > Master 6 8%
Other 12 15%
Unknown 22 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 21%
Medicine and Dentistry 15 19%
Agricultural and Biological Sciences 5 6%
Nursing and Health Professions 3 4%
Immunology and Microbiology 3 4%
Other 10 13%
Unknown 27 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2020.
All research outputs
#13,650,729
of 23,149,216 outputs
Outputs from Journal of Translational Medicine
#1,617
of 4,070 outputs
Outputs of similar age
#175,413
of 352,417 outputs
Outputs of similar age from Journal of Translational Medicine
#28
of 85 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,070 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 58% 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 352,417 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.