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Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies

Overview of attention for article published in BMC Medicine, December 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
6 X users

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies
Published in
BMC Medicine, December 2020
DOI 10.1186/s12916-020-01860-y
Pubmed ID
Authors

Peng Xue, Chao Tang, Qing Li, Yuexiang Li, Yu Shen, Yuqian Zhao, Jiawei Chen, Jianrong Wu, Longyu Li, Wei Wang, Yucong Li, Xiaoli Cui, Shaokai Zhang, Wenhua Zhang, Xun Zhang, Kai Ma, Yefeng Zheng, Tianyi Qian, Man Tat Alexander Ng, Zhihua Liu, Youlin Qiao, Yu Jiang, Fanghui Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 10%
Student > Master 5 10%
Researcher 4 8%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 6 12%
Unknown 26 52%
Readers by discipline Count As %
Medicine and Dentistry 7 14%
Computer Science 4 8%
Engineering 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Unspecified 1 2%
Other 4 8%
Unknown 29 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 June 2023.
All research outputs
#6,414,249
of 24,350,163 outputs
Outputs from BMC Medicine
#2,487
of 3,746 outputs
Outputs of similar age
#150,027
of 512,905 outputs
Outputs of similar age from BMC Medicine
#73
of 118 outputs
Altmetric has tracked 24,350,163 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,746 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. 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 512,905 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.