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Neural Network Deconvolution Method for Resolving Pathway-Level Progression of Tumor Clonal Expression Programs With Application to Breast Cancer Brain Metastases

Overview of attention for article published in Frontiers in Physiology, September 2020
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1 X user

Citations

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19 Mendeley
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Title
Neural Network Deconvolution Method for Resolving Pathway-Level Progression of Tumor Clonal Expression Programs With Application to Breast Cancer Brain Metastases
Published in
Frontiers in Physiology, September 2020
DOI 10.3389/fphys.2020.01055
Pubmed ID
Authors

Yifeng Tao, Haoyun Lei, Adrian V. Lee, Jian Ma, Russell Schwartz

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Unspecified 2 11%
Student > Bachelor 1 5%
Student > Postgraduate 1 5%
Other 1 5%
Other 1 5%
Unknown 9 47%
Readers by discipline Count As %
Medicine and Dentistry 5 26%
Agricultural and Biological Sciences 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Computer Science 1 5%
Engineering 1 5%
Other 0 0%
Unknown 10 53%
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 06 October 2020.
All research outputs
#20,650,407
of 23,245,494 outputs
Outputs from Frontiers in Physiology
#9,609
of 13,985 outputs
Outputs of similar age
#341,693
of 399,431 outputs
Outputs of similar age from Frontiers in Physiology
#315
of 421 outputs
Altmetric has tracked 23,245,494 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 13,985 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 399,431 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 421 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.