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Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms

Overview of attention for article published in Frontiers in oncology, March 2020
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1 X user

Citations

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34 Dimensions

Readers on

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41 Mendeley
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Title
Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms
Published in
Frontiers in oncology, March 2020
DOI 10.3389/fonc.2020.00330
Pubmed ID
Authors

Zhiqiao Zhang, Jing Li, Tingshan He, Jianqiang Ding

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

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 15%
Researcher 3 7%
Lecturer 2 5%
Student > Doctoral Student 2 5%
Student > Postgraduate 2 5%
Other 5 12%
Unknown 21 51%
Readers by discipline Count As %
Medicine and Dentistry 4 10%
Biochemistry, Genetics and Molecular Biology 3 7%
Agricultural and Biological Sciences 3 7%
Engineering 2 5%
Nursing and Health Professions 1 2%
Other 6 15%
Unknown 22 54%
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 07 May 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Frontiers in oncology
#15,926
of 22,433 outputs
Outputs of similar age
#342,401
of 396,472 outputs
Outputs of similar age from Frontiers in oncology
#320
of 482 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 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. 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 396,472 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 482 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.