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Identification of a three-long noncoding RNA prognostic model involved competitive endogenous RNA in kidney renal clear cell carcinoma

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

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1 X user

Citations

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25 Dimensions

Readers on

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10 Mendeley
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Title
Identification of a three-long noncoding RNA prognostic model involved competitive endogenous RNA in kidney renal clear cell carcinoma
Published in
Cancer Cell International, July 2020
DOI 10.1186/s12935-020-01423-4
Pubmed ID
Authors

Di Zhang, Song Zeng, Xiaopeng Hu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 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 %
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Student > Bachelor 1 10%
Student > Doctoral Student 1 10%
Researcher 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Medicine and Dentistry 2 20%
Neuroscience 1 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Unknown 3 30%
Attention Score in Context

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 23 July 2020.
All research outputs
#20,631,102
of 23,223,705 outputs
Outputs from Cancer Cell International
#1,394
of 1,842 outputs
Outputs of similar age
#313,497
of 366,191 outputs
Outputs of similar age from Cancer Cell International
#52
of 104 outputs
Altmetric has tracked 23,223,705 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 1,842 research outputs from this source. They receive a mean Attention Score of 4.0. 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 366,191 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 104 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.