↓ Skip to main content

Automatic identification and analysis of cells using digital holographic microscopy and Sobel segmentation

Overview of attention for article published in Frontiers in Photonics, February 2024
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#37 of 100)
  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
2 X users
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Automatic identification and analysis of cells using digital holographic microscopy and Sobel segmentation
Published in
Frontiers in Photonics, February 2024
DOI 10.3389/fphot.2024.1359595
Authors

Zihan Xiong, Lan Yu, Sha An, Juanjuan Zheng, Ying Ma, Vicente Micó, Peng Gao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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 19 February 2024.
All research outputs
#17,838,308
of 26,130,653 outputs
Outputs from Frontiers in Photonics
#37
of 100 outputs
Outputs of similar age
#188,660
of 351,980 outputs
Outputs of similar age from Frontiers in Photonics
#2
of 10 outputs
Altmetric has tracked 26,130,653 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 100 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 3rd percentile – i.e., 3% 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 351,980 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.