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Fundus image classification using Inception V3 and ResNet-50 for the early diagnostics of fundus diseases

Overview of attention for article published in Frontiers in Physiology, February 2023
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1 X user

Citations

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49 Mendeley
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Title
Fundus image classification using Inception V3 and ResNet-50 for the early diagnostics of fundus diseases
Published in
Frontiers in Physiology, February 2023
DOI 10.3389/fphys.2023.1126780
Pubmed ID
Authors

Yuhang Pan, Junru Liu, Yuting Cai, Xuemei Yang, Zhucheng Zhang, Hong Long, Ketong Zhao, Xia Yu, Cui Zeng, Jueni Duan, Ping Xiao, Jingbo Li, Feiyue Cai, Xiaoyun Yang, Zhen Tan

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

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 6%
Lecturer 3 6%
Student > Ph. D. Student 3 6%
Student > Master 3 6%
Student > Bachelor 2 4%
Other 3 6%
Unknown 32 65%
Readers by discipline Count As %
Computer Science 8 16%
Unspecified 3 6%
Engineering 3 6%
Nursing and Health Professions 1 2%
Arts and Humanities 1 2%
Other 0 0%
Unknown 33 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 15 February 2023.
All research outputs
#20,761,844
of 23,367,368 outputs
Outputs from Frontiers in Physiology
#9,684
of 14,100 outputs
Outputs of similar age
#283,141
of 362,865 outputs
Outputs of similar age from Frontiers in Physiology
#272
of 535 outputs
Altmetric has tracked 23,367,368 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 14,100 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 362,865 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 535 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.