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Applications of Manganese-Enhanced Magnetic Resonance Imaging in Ophthalmology and Visual Neuroscience

Overview of attention for article published in Frontiers in Neural Circuits, May 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Applications of Manganese-Enhanced Magnetic Resonance Imaging in Ophthalmology and Visual Neuroscience
Published in
Frontiers in Neural Circuits, May 2019
DOI 10.3389/fncir.2019.00035
Pubmed ID
Authors

Wenyu Deng, Muneeb A. Faiq, Crystal Liu, Vishnu Adi, Kevin C. Chan

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Bachelor 7 18%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 3 8%
Student > Master 2 5%
Other 4 10%
Unknown 10 26%
Readers by discipline Count As %
Medicine and Dentistry 8 21%
Engineering 4 10%
Neuroscience 3 8%
Agricultural and Biological Sciences 3 8%
Psychology 2 5%
Other 8 21%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2019.
All research outputs
#13,647,571
of 23,144,579 outputs
Outputs from Frontiers in Neural Circuits
#583
of 1,226 outputs
Outputs of similar age
#176,186
of 351,358 outputs
Outputs of similar age from Frontiers in Neural Circuits
#10
of 21 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,226 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 50% 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 351,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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 52% of its contemporaries.