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Radiomics Nomogram Model Based on TOF-MRA Images: A New Effective Method for Predicting Microaneurysms

Overview of attention for article published in International Journal of General Medicine, March 2023
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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 (58th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
1 Mendeley
Title
Radiomics Nomogram Model Based on TOF-MRA Images: A New Effective Method for Predicting Microaneurysms
Published in
International Journal of General Medicine, March 2023
DOI 10.2147/ijgm.s397134
Pubmed ID
Authors

Delian Kong, Junrong Li, Yingying Lv, Man Wang, Shenghua Li, Baoxin Qian, Yusheng Yu

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 100%
Readers by discipline Count As %
Neuroscience 1 100%
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 27 March 2023.
All research outputs
#16,864,148
of 25,576,801 outputs
Outputs from International Journal of General Medicine
#668
of 1,624 outputs
Outputs of similar age
#234,176
of 423,732 outputs
Outputs of similar age from International Journal of General Medicine
#18
of 46 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,624 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 53% 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 423,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 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 58% of its contemporaries.