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Editorial: Innovative applications with artificial intelligence methods in neuroimaging data analysis

Overview of attention for article published in Frontiers in Human Neuroscience, December 2022
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1 X user

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4 Mendeley
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Title
Editorial: Innovative applications with artificial intelligence methods in neuroimaging data analysis
Published in
Frontiers in Human Neuroscience, December 2022
DOI 10.3389/fnhum.2022.1108253
Pubmed ID
Authors

Feng Liu, Li Zhao, Yuan-Chiao Lu, Yao Wu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 50%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Business, Management and Accounting 1 25%
Decision Sciences 1 25%
Chemistry 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 December 2022.
All research outputs
#20,833,074
of 23,445,423 outputs
Outputs from Frontiers in Human Neuroscience
#6,648
of 7,294 outputs
Outputs of similar age
#348,149
of 438,989 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#112
of 145 outputs
Altmetric has tracked 23,445,423 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,294 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 438,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.