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Detection of bladder cancer using urinary cell‐free DNA and cellular DNA

Overview of attention for article published in Clinical and Translational Medicine, January 2020
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1 X user

Citations

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Readers on

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54 Mendeley
Title
Detection of bladder cancer using urinary cell‐free DNA and cellular DNA
Published in
Clinical and Translational Medicine, January 2020
DOI 10.1186/s40169-020-0257-2
Pubmed ID
Authors

Zhenyu Ou, Kai Li, Ting Yang, Ying Dai, Mohan Chandra, Jun Ning, Yongli Wang, Ran Xu, Tangjie Gao, Yu Xie, Qing He, Yuanwei Li, Qin Lu, Long Wang, Zhuo Song

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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 17%
Student > Ph. D. Student 4 7%
Student > Bachelor 4 7%
Other 3 6%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 25 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 20%
Medicine and Dentistry 11 20%
Engineering 3 6%
Agricultural and Biological Sciences 2 4%
Chemistry 1 2%
Other 1 2%
Unknown 25 46%
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 16 January 2020.
All research outputs
#20,667,544
of 25,387,668 outputs
Outputs from Clinical and Translational Medicine
#752
of 1,060 outputs
Outputs of similar age
#357,355
of 474,303 outputs
Outputs of similar age from Clinical and Translational Medicine
#12
of 15 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 19th percentile – i.e., 19% 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 474,303 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.