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Transcriptomic characterization and innovative molecular classification of clear cell renal cell carcinoma in the Chinese population

Overview of attention for article published in Cancer Cell International, September 2020
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Mentioned by

twitter
1 tweeter

Citations

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2 Dimensions

Readers on

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10 Mendeley
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Title
Transcriptomic characterization and innovative molecular classification of clear cell renal cell carcinoma in the Chinese population
Published in
Cancer Cell International, September 2020
DOI 10.1186/s12935-020-01552-w
Authors

Qiang Zhao, Jia Xue, Baoan Hong, Wubin Qian, Tiezhu Liu, Bin Fan, Jie Cai, Yongpeng Ji, Jia Liu, Yong Yang, Qixiang Li, Sheng Guo, Ning Zhang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Ph. D. Student 2 20%
Student > Postgraduate 2 20%
Unspecified 1 10%
Student > Master 1 10%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 40%
Medicine and Dentistry 2 20%
Unspecified 1 10%
Engineering 1 10%
Unknown 2 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 September 2020.
All research outputs
#15,365,902
of 17,388,379 outputs
Outputs from Cancer Cell International
#611
of 967 outputs
Outputs of similar age
#265,113
of 316,154 outputs
Outputs of similar age from Cancer Cell International
#1
of 1 outputs
Altmetric has tracked 17,388,379 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 967 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 1st percentile – i.e., 1% 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 316,154 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them