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Identifying genes with tri-modal association with survival and tumor grade in cancer patients

Overview of attention for article published in BMC Bioinformatics, January 2019
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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13 Mendeley
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Title
Identifying genes with tri-modal association with survival and tumor grade in cancer patients
Published in
BMC Bioinformatics, January 2019
DOI 10.1186/s12859-018-2582-7
Pubmed ID
Authors

Minzhe Zhang, Tao Wang, Rosa Sirianni, Philip W. Shaul, Yang Xie

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Bachelor 2 15%
Other 2 15%
Student > Master 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Medicine and Dentistry 3 23%
Biochemistry, Genetics and Molecular Biology 2 15%
Computer Science 1 8%
Agricultural and Biological Sciences 1 8%
Sports and Recreations 1 8%
Other 1 8%
Unknown 4 31%
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 08 January 2019.
All research outputs
#20,549,510
of 23,122,481 outputs
Outputs from BMC Bioinformatics
#6,905
of 7,330 outputs
Outputs of similar age
#371,967
of 438,088 outputs
Outputs of similar age from BMC Bioinformatics
#189
of 206 outputs
Altmetric has tracked 23,122,481 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 7,330 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 438,088 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 206 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.