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Application of artificial intelligence in cataract management: current and future directions

Overview of attention for article published in Eye and Vision, January 2022
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
70 Mendeley
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Title
Application of artificial intelligence in cataract management: current and future directions
Published in
Eye and Vision, January 2022
DOI 10.1186/s40662-021-00273-z
Pubmed ID
Authors

Laura Gutierrez, Jane Sujuan Lim, Li Lian Foo, Wei Yan Ng, Michelle Yip, Gilbert Yong San Lim, Melissa Hsing Yi Wong, Allan Fong, Mohamad Rosman, Jodhbir Singth Mehta, Haotian Lin, Darren Shu Jeng Ting, Daniel Shu Wei Ting

Twitter Demographics

The data shown below were collected from the profiles of 2 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 13%
Student > Bachelor 8 11%
Unspecified 6 9%
Researcher 6 9%
Student > Doctoral Student 3 4%
Other 14 20%
Unknown 24 34%
Readers by discipline Count As %
Medicine and Dentistry 26 37%
Unspecified 6 9%
Engineering 4 6%
Computer Science 3 4%
Business, Management and Accounting 2 3%
Other 6 9%
Unknown 23 33%

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 15 January 2022.
All research outputs
#18,467,278
of 22,882,389 outputs
Outputs from Eye and Vision
#100
of 239 outputs
Outputs of similar age
#360,349
of 501,030 outputs
Outputs of similar age from Eye and Vision
#3
of 5 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 239 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 51% 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 501,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.