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Monosodium Glutamate-Induced Mouse Model With Unique Diabetic Retinal Neuropathy Features and Artificial Intelligence Techniques for Quantitative Evaluation

Overview of attention for article published in Frontiers in immunology, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
6 X users

Citations

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4 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Monosodium Glutamate-Induced Mouse Model With Unique Diabetic Retinal Neuropathy Features and Artificial Intelligence Techniques for Quantitative Evaluation
Published in
Frontiers in immunology, April 2022
DOI 10.3389/fimmu.2022.862702
Pubmed ID
Authors

Yanfei Liu, Hui Huang, Yu Sun, Yiwen Li, Binyu Luo, Jing Cui, Mengmeng Zhu, Fukun Bi, Keji Chen, Yue Liu

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 8%
Researcher 2 8%
Student > Master 2 8%
Student > Doctoral Student 1 4%
Student > Ph. D. Student 1 4%
Other 0 0%
Unknown 17 68%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 12%
Medicine and Dentistry 3 12%
Computer Science 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unknown 17 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 September 2022.
All research outputs
#15,161,597
of 26,411,386 outputs
Outputs from Frontiers in immunology
#13,225
of 33,432 outputs
Outputs of similar age
#196,851
of 453,993 outputs
Outputs of similar age from Frontiers in immunology
#647
of 1,684 outputs
Altmetric has tracked 26,411,386 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,432 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 453,993 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1,684 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.