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Determine Corneal Biomechanical Parameters by Finite Element Simulation and Parametric Analysis Based on ORA Measurements

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, April 2022
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1 X user

Citations

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3 Dimensions

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7 Mendeley
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Title
Determine Corneal Biomechanical Parameters by Finite Element Simulation and Parametric Analysis Based on ORA Measurements
Published in
Frontiers in Bioengineering and Biotechnology, April 2022
DOI 10.3389/fbioe.2022.862947
Pubmed ID
Authors

Xiao Qin, Lei Tian, Hui Zhang, Di Zhang, Ying Jie, Hai-Xia Zhang, Lin Li

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Ph. D. Student 1 14%
Lecturer 1 14%
Unknown 4 57%
Readers by discipline Count As %
Engineering 2 29%
Unspecified 1 14%
Unknown 4 57%
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 13 April 2022.
All research outputs
#20,903,227
of 23,530,272 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,851
of 7,138 outputs
Outputs of similar age
#361,116
of 443,486 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#405
of 612 outputs
Altmetric has tracked 23,530,272 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 7,138 research outputs from this source. They receive a mean Attention Score of 3.5. 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 443,486 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 612 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.