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Application of total keratometry in ten intraocular lens power calculation formulas in highly myopic eyes

Overview of attention for article published in Eye and Vision, June 2022
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1 X user

Citations

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6 Dimensions

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10 Mendeley
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Title
Application of total keratometry in ten intraocular lens power calculation formulas in highly myopic eyes
Published in
Eye and Vision, June 2022
DOI 10.1186/s40662-022-00293-3
Pubmed ID
Authors

Ling Wei, Kaiwen Cheng, Wenwen He, Xiangjia Zhu, Yi Lu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 20%
Student > Postgraduate 1 10%
Other 1 10%
Student > Master 1 10%
Unknown 5 50%
Readers by discipline Count As %
Unspecified 2 20%
Medicine and Dentistry 1 10%
Engineering 1 10%
Unknown 6 60%
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 16 June 2022.
All research outputs
#20,171,868
of 22,684,168 outputs
Outputs from Eye and Vision
#117
of 235 outputs
Outputs of similar age
#355,730
of 440,906 outputs
Outputs of similar age from Eye and Vision
#5
of 7 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 235 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% 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 440,906 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 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.