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Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma

Overview of attention for article published in Diagnostic Pathology, May 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma
Published in
Diagnostic Pathology, May 2020
DOI 10.1186/s13000-020-00957-5
Pubmed ID
Authors

Min Feng, Yang Deng, Libo Yang, Qiuyang Jing, Zhang, Lian Xu, Xiaoxia Wei, Yanyan Zhou, Diwei Wu, Fei Xiang, Yizhe Wang, Ji Bao, Hong Bu

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 14%
Researcher 5 9%
Student > Bachelor 5 9%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 25 44%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Computer Science 8 14%
Engineering 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Arts and Humanities 1 2%
Other 7 12%
Unknown 25 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 June 2020.
All research outputs
#10,755,178
of 17,904,439 outputs
Outputs from Diagnostic Pathology
#341
of 968 outputs
Outputs of similar age
#160,490
of 295,788 outputs
Outputs of similar age from Diagnostic Pathology
#1
of 1 outputs
Altmetric has tracked 17,904,439 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 968 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 59% 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 295,788 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them