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Network vulnerability‐based and knowledge‐guided identification of microRNA biomarkers indicating platinum resistance in high‐grade serous ovarian cancer

Overview of attention for article published in Clinical and Translational Medicine, October 2019
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Mentioned by

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1 X user

Citations

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32 Dimensions

Readers on

mendeley
10 Mendeley
Title
Network vulnerability‐based and knowledge‐guided identification of microRNA biomarkers indicating platinum resistance in high‐grade serous ovarian cancer
Published in
Clinical and Translational Medicine, October 2019
DOI 10.1186/s40169-019-0245-6
Pubmed ID
Authors

Xin Qi, Chunjiang Yu, Yi Wang, Yuxin Lin, Bairong Shen

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 > Bachelor 3 30%
Student > Ph. D. Student 1 10%
Other 1 10%
Student > Master 1 10%
Unknown 4 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Pharmacology, Toxicology and Pharmaceutical Science 2 20%
Engineering 1 10%
Unknown 4 40%
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 31 October 2019.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Clinical and Translational Medicine
#851
of 1,060 outputs
Outputs of similar age
#324,341
of 377,118 outputs
Outputs of similar age from Clinical and Translational Medicine
#2
of 4 outputs
Altmetric has tracked 25,387,668 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 1,060 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 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 377,118 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.