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Identification of Dysregulated Competitive Endogenous RNA Networks Driven by Copy Number Variations in Malignant Gliomas

Overview of attention for article published in Frontiers in Genetics, October 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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10 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Identification of Dysregulated Competitive Endogenous RNA Networks Driven by Copy Number Variations in Malignant Gliomas
Published in
Frontiers in Genetics, October 2019
DOI 10.3389/fgene.2019.01055
Pubmed ID
Authors

Jinyuan Xu, Xiaobo Hou, Lin Pang, Shangqin Sun, Shengyuan He, Yiran Yang, Kun Liu, Linfu Xu, Wenkang Yin, Chaohan Xu, Yun Xiao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Master 2 25%
Student > Postgraduate 1 13%
Student > Bachelor 1 13%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Environmental Science 1 13%
Agricultural and Biological Sciences 1 13%
Engineering 1 13%
Other 0 0%
Unknown 2 25%
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 14 November 2019.
All research outputs
#15,057,261
of 23,172,045 outputs
Outputs from Frontiers in Genetics
#4,577
of 12,204 outputs
Outputs of similar age
#212,421
of 361,453 outputs
Outputs of similar age from Frontiers in Genetics
#199
of 438 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,204 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% 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 361,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 438 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.