↓ Skip to main content

Natural Image Reconstruction From fMRI Using Deep Learning: A Survey

Overview of attention for article published in Frontiers in Neuroscience, December 2021
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
53 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Natural Image Reconstruction From fMRI Using Deep Learning: A Survey
Published in
Frontiers in Neuroscience, December 2021
DOI 10.3389/fnins.2021.795488
Pubmed ID
Authors

Zarina Rakhimberdina, Quentin Jodelet, Xin Liu, Tsuyoshi Murata

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 8%
Student > Ph. D. Student 4 8%
Student > Bachelor 3 6%
Student > Postgraduate 3 6%
Researcher 3 6%
Other 6 11%
Unknown 30 57%
Readers by discipline Count As %
Neuroscience 6 11%
Agricultural and Biological Sciences 3 6%
Computer Science 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Engineering 2 4%
Other 4 8%
Unknown 33 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 August 2023.
All research outputs
#6,973,795
of 25,504,429 outputs
Outputs from Frontiers in Neuroscience
#4,526
of 11,590 outputs
Outputs of similar age
#145,561
of 514,700 outputs
Outputs of similar age from Frontiers in Neuroscience
#104
of 351 outputs
Altmetric has tracked 25,504,429 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,590 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 60% 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 514,700 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 71% of its contemporaries.
We're also able to compare this research output to 351 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 70% of its contemporaries.