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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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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
1 tweeter

Readers on

mendeley
2 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
Authors

XiaoQing Zhang, Shu-Guang Zhao

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Student > Bachelor 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Chemistry 1 50%

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
#8,072,472
of 12,867,507 outputs
Outputs from Medical & Biological Engineering & Computing
#1,143
of 1,347 outputs
Outputs of similar age
#155,060
of 262,518 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#5
of 15 outputs
Altmetric has tracked 12,867,507 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,347 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 10th percentile – i.e., 10% 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 262,518 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.