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Validation of the vault prediction model based on the sulcus-to-sulcus diameter and lens thickness: a 925-eye prospective study

Overview of attention for article published in BMC Ophthalmology, November 2022
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1 X user

Citations

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6 Dimensions

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4 Mendeley
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Title
Validation of the vault prediction model based on the sulcus-to-sulcus diameter and lens thickness: a 925-eye prospective study
Published in
BMC Ophthalmology, November 2022
DOI 10.1186/s12886-022-02698-z
Pubmed ID
Authors

Qiu-Jian Zhu, Xiao-Ying Xing, Man-Hui Zhu, Lie Ma, You Yuan, E. Song

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Other 1 25%
Student > Postgraduate 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Medicine and Dentistry 3 75%
Unknown 1 25%
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 01 December 2022.
All research outputs
#21,270,045
of 23,891,012 outputs
Outputs from BMC Ophthalmology
#2,278
of 2,583 outputs
Outputs of similar age
#370,153
of 462,468 outputs
Outputs of similar age from BMC Ophthalmology
#120
of 127 outputs
Altmetric has tracked 23,891,012 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 2,583 research outputs from this source. They receive a mean Attention Score of 2.7. 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 462,468 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 127 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.