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Identification of potential biomarkers related to glioma survival by gene expression profile analysis

Overview of attention for article published in BMC Medical Genomics, March 2019
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1 X user

Citations

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55 Dimensions

Readers on

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76 Mendeley
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Title
Identification of potential biomarkers related to glioma survival by gene expression profile analysis
Published in
BMC Medical Genomics, March 2019
DOI 10.1186/s12920-019-0479-6
Pubmed ID
Authors

Justin Bo-Kai Hsu, Tzu-Hao Chang, Gilbert Aaron Lee, Tzong-Yi Lee, Cheng-Yu Chen

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

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Bachelor 10 13%
Student > Doctoral Student 8 11%
Student > Ph. D. Student 6 8%
Student > Postgraduate 5 7%
Other 7 9%
Unknown 27 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 14%
Medicine and Dentistry 11 14%
Agricultural and Biological Sciences 6 8%
Computer Science 4 5%
Neuroscience 4 5%
Other 12 16%
Unknown 28 37%
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 22 March 2019.
All research outputs
#20,561,572
of 23,136,540 outputs
Outputs from BMC Medical Genomics
#1,015
of 1,238 outputs
Outputs of similar age
#302,582
of 351,752 outputs
Outputs of similar age from BMC Medical Genomics
#22
of 23 outputs
Altmetric has tracked 23,136,540 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 1,238 research outputs from this source. They receive a mean Attention Score of 4.7. 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 351,752 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 23 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.