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Fluorescence microscopy image classification of 2D HeLa cells based on the CapsNet neural network

Overview of attention for article published in Medical & Biological Engineering & Computing, January 2019
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Mentioned by

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1 X user

Citations

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26 Dimensions

Readers on

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25 Mendeley
Title
Fluorescence microscopy image classification of 2D HeLa cells based on the CapsNet neural network
Published in
Medical & Biological Engineering & Computing, January 2019
DOI 10.1007/s11517-018-01946-z
Pubmed ID
Authors

XiaoQing Zhang, Shu-Guang Zhao

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 20%
Student > Ph. D. Student 4 16%
Student > Doctoral Student 3 12%
Student > Master 2 8%
Unspecified 1 4%
Other 2 8%
Unknown 8 32%
Readers by discipline Count As %
Computer Science 6 24%
Engineering 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Business, Management and Accounting 1 4%
Medicine and Dentistry 1 4%
Other 3 12%
Unknown 11 44%
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 29 January 2019.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from Medical & Biological Engineering & Computing
#1,677
of 2,053 outputs
Outputs of similar age
#282,179
of 446,462 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#6
of 7 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 12th percentile – i.e., 12% 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 446,462 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.