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Histopathology image classification: highlighting the gap between manual analysis and AI automation

Overview of attention for article published in Frontiers in oncology, January 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Histopathology image classification: highlighting the gap between manual analysis and AI automation
Published in
Frontiers in oncology, January 2024
DOI 10.3389/fonc.2023.1325271
Pubmed ID
Authors

Refika Sultan Doğan, Bülent Yılmaz

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 20%
Lecturer 2 20%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Unknown 4 40%
Readers by discipline Count As %
Unspecified 2 20%
Engineering 2 20%
Environmental Science 1 10%
Social Sciences 1 10%
Linguistics 1 10%
Other 0 0%
Unknown 3 30%
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 18 January 2024.
All research outputs
#17,995,954
of 26,329,145 outputs
Outputs from Frontiers in oncology
#8,346
of 22,974 outputs
Outputs of similar age
#203,666
of 376,501 outputs
Outputs of similar age from Frontiers in oncology
#203
of 785 outputs
Altmetric has tracked 26,329,145 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 22,974 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 57% 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 376,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 785 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 67% of its contemporaries.