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Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning

Overview of attention for article published in BMC Ophthalmology, September 2021
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Mentioned by

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3 X users

Citations

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9 Dimensions

Readers on

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15 Mendeley
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Title
Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning
Published in
BMC Ophthalmology, September 2021
DOI 10.1186/s12886-021-02104-0
Pubmed ID
Authors

Zhuyun Qian, Xiaoling Xie, Jianlong Yang, Hongfei Ye, Zhilei Wang, Jili Chen, Hui Liu, Jianheng Liang, Lihong Jiang, Ce Zheng, Xu Chen

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Student > Doctoral Student 2 13%
Unspecified 1 7%
Other 1 7%
Researcher 1 7%
Other 1 7%
Unknown 7 47%
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Computer Science 1 7%
Unspecified 1 7%
Social Sciences 1 7%
Physics and Astronomy 1 7%
Other 0 0%
Unknown 7 47%
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 05 November 2021.
All research outputs
#18,509,301
of 23,767,404 outputs
Outputs from BMC Ophthalmology
#1,153
of 2,562 outputs
Outputs of similar age
#295,803
of 435,048 outputs
Outputs of similar age from BMC Ophthalmology
#31
of 88 outputs
Altmetric has tracked 23,767,404 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 2,562 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 37th percentile – i.e., 37% 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 435,048 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.