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Reconstructing virtual large slides can improve the accuracy and consistency of tumor bed evaluation for breast cancer after neoadjuvant therapy

Overview of attention for article published in Diagnostic Pathology, April 2022
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About this Attention Score

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

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Reconstructing virtual large slides can improve the accuracy and consistency of tumor bed evaluation for breast cancer after neoadjuvant therapy
Published in
Diagnostic Pathology, April 2022
DOI 10.1186/s13000-022-01219-2
Pubmed ID
Authors

Dandan Han, Jun Liao, Meng Zhang, Chenchen Qin, Mengxue Han, Chun Wu, Jinze Li, Jianhua Yao, Yueping Liu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 17%
Student > Master 1 17%
Unknown 4 67%
Readers by discipline Count As %
Engineering 1 17%
Unknown 5 83%
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 29 April 2022.
All research outputs
#18,146,485
of 23,312,088 outputs
Outputs from Diagnostic Pathology
#690
of 1,149 outputs
Outputs of similar age
#300,103
of 443,451 outputs
Outputs of similar age from Diagnostic Pathology
#6
of 13 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,149 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 33rd percentile – i.e., 33% 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 443,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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.