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Deep Learning-Based Recognition of Different Thyroid Cancer Categories Using Whole Frozen-Slide Images

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
3 X users

Citations

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8 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Deep Learning-Based Recognition of Different Thyroid Cancer Categories Using Whole Frozen-Slide Images
Published in
Frontiers in Bioengineering and Biotechnology, July 2022
DOI 10.3389/fbioe.2022.857377
Pubmed ID
Authors

Xinyi Zhu, Cancan Chen, Qiang Guo, Jianhui Ma, Fenglong Sun, Haizhen Lu

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 9%
Professor 1 9%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Student > Doctoral Student 1 9%
Other 0 0%
Unknown 6 55%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Engineering 1 9%
Unknown 7 64%
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 25 July 2022.
All research outputs
#18,943,510
of 24,144,324 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,180
of 7,623 outputs
Outputs of similar age
#295,158
of 424,106 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#232
of 622 outputs
Altmetric has tracked 24,144,324 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,623 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 424,106 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 622 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 51% of its contemporaries.