↓ Skip to main content

Enhancing image resolution of confocal fluorescence microscopy with deep learning

Overview of attention for article published in PhotoniX, January 2023
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
facebook
1 Facebook page

Readers on

mendeley
20 Mendeley
Title
Enhancing image resolution of confocal fluorescence microscopy with deep learning
Published in
PhotoniX, January 2023
DOI 10.1186/s43074-022-00077-x
Authors

Boyi Huang, Jia Li, Bowen Yao, Zhigang Yang, Edmund Y. Lam, Jia Zhang, Wei Yan, Junle Qu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Professor 2 10%
Student > Postgraduate 2 10%
Lecturer 1 5%
Student > Master 1 5%
Other 3 15%
Unknown 8 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 20%
Engineering 4 20%
Agricultural and Biological Sciences 2 10%
Computer Science 2 10%
Unknown 8 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 June 2023.
All research outputs
#2,969,901
of 23,885,338 outputs
Outputs from PhotoniX
#3
of 17 outputs
Outputs of similar age
#58,693
of 435,330 outputs
Outputs of similar age from PhotoniX
#3
of 5 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one scored the same or higher as 14 of them.
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 435,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.