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DeepRetroMoCo: deep neural network-based retrospective motion correction algorithm for spinal cord functional MRI

Overview of attention for article published in Frontiers in Psychiatry, June 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
3 Mendeley
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Title
DeepRetroMoCo: deep neural network-based retrospective motion correction algorithm for spinal cord functional MRI
Published in
Frontiers in Psychiatry, June 2024
DOI 10.3389/fpsyt.2024.1323109
Pubmed ID
Authors

Mahdi Mobarak-Abadi, Ahmad Mahmoudi-Aznaveh, Hamed Dehghani, Mojtaba Zarei, Shahabeddin Vahdat, Julien Doyon, Ali Khatibi

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Medicine and Dentistry 1 33%
Neuroscience 1 33%
Unknown 1 33%
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 26 May 2024.
All research outputs
#15,330,027
of 26,210,734 outputs
Outputs from Frontiers in Psychiatry
#4,865
of 13,035 outputs
Outputs of similar age
#53,565
of 152,706 outputs
Outputs of similar age from Frontiers in Psychiatry
#30
of 90 outputs
Altmetric has tracked 26,210,734 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 62% 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 152,706 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 64% of its contemporaries.
We're also able to compare this research output to 90 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 64% of its contemporaries.