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Image Quality Evaluation of Light Field Image Based on Macro-Pixels and Focus Stack

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2022
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2 X users

Citations

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3 Dimensions

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3 Mendeley
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Title
Image Quality Evaluation of Light Field Image Based on Macro-Pixels and Focus Stack
Published in
Frontiers in Computational Neuroscience, January 2022
DOI 10.3389/fncom.2021.768021
Pubmed ID
Authors

Chunli Meng, Ping An, Xinpeng Huang, Chao Yang, Yilei Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Chemical Engineering 1 33%
Unknown 2 67%
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 31 January 2022.
All research outputs
#20,461,262
of 25,145,981 outputs
Outputs from Frontiers in Computational Neuroscience
#1,107
of 1,443 outputs
Outputs of similar age
#384,097
of 513,234 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#20
of 28 outputs
Altmetric has tracked 25,145,981 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,443 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 14th percentile – i.e., 14% 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 513,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.