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A review on the effect of garlic on diabetes, BDNF, and VEGF as a potential treatment for diabetic retinopathy

Overview of attention for article published in Chinese Medicine, February 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
3 X users
reddit
1 Redditor
video
2 YouTube creators

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
57 Mendeley
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Title
A review on the effect of garlic on diabetes, BDNF, and VEGF as a potential treatment for diabetic retinopathy
Published in
Chinese Medicine, February 2023
DOI 10.1186/s13020-023-00725-9
Pubmed ID
Authors

Fatemeh Sanie-Jahromi, Zahra Zia, Mehrdad Afarid

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 12%
Student > Doctoral Student 4 7%
Lecturer 3 5%
Professor > Associate Professor 3 5%
Unspecified 1 2%
Other 3 5%
Unknown 36 63%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 7%
Medicine and Dentistry 3 5%
Nursing and Health Professions 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 6 11%
Unknown 38 67%
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 25 April 2024.
All research outputs
#14,867,221
of 25,789,020 outputs
Outputs from Chinese Medicine
#204
of 673 outputs
Outputs of similar age
#177,169
of 429,970 outputs
Outputs of similar age from Chinese Medicine
#7
of 20 outputs
Altmetric has tracked 25,789,020 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 673 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 68% 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 429,970 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 57% of its contemporaries.
We're also able to compare this research output to 20 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 65% of its contemporaries.