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Universal artificial intelligence platform for collaborative management of cataracts

Overview of attention for article published in British Journal of Ophthalmology, September 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
15 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
88 Mendeley
Title
Universal artificial intelligence platform for collaborative management of cataracts
Published in
British Journal of Ophthalmology, September 2019
DOI 10.1136/bjophthalmol-2019-314729
Pubmed ID
Authors

Xiaohang Wu, Yelin Huang, Zhenzhen Liu, Weiyi Lai, Erping Long, Kai Zhang, Jiewei Jiang, Duoru Lin, Kexin Chen, Tongyong Yu, Dongxuan Wu, Cong Li, Yanyi Chen, Minjie Zou, Chuan Chen, Yi Zhu, Chong Guo, Xiayin Zhang, Ruixin Wang, Yahan Yang, Yifan Xiang, Lijian Chen, Congxin Liu, Jianhao Xiong, Zongyuan Ge, Dingding Wang, Guihua Xu, Shaolin Du, Chi Xiao, Jianghao Wu, Ke Zhu, Danyao Nie, Fan Xu, Jian Lv, Weirong Chen, Yizhi Liu, Haotian Lin

Twitter Demographics

The data shown below were collected from the profiles of 15 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 11%
Researcher 10 11%
Student > Bachelor 9 10%
Student > Ph. D. Student 9 10%
Other 7 8%
Other 21 24%
Unknown 22 25%
Readers by discipline Count As %
Medicine and Dentistry 26 30%
Computer Science 6 7%
Nursing and Health Professions 6 7%
Engineering 5 6%
Business, Management and Accounting 3 3%
Other 15 17%
Unknown 27 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 August 2020.
All research outputs
#2,916,529
of 18,911,518 outputs
Outputs from British Journal of Ophthalmology
#553
of 5,254 outputs
Outputs of similar age
#59,003
of 275,326 outputs
Outputs of similar age from British Journal of Ophthalmology
#9
of 94 outputs
Altmetric has tracked 18,911,518 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 89% 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 275,326 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.