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Editorial: Brain-image Based Computation for Supporting Clinical Decision in Neurological and Psychiatric Disorders

Overview of attention for article published in Frontiers in Neuroscience, March 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Readers on

mendeley
15 Mendeley
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Title
Editorial: Brain-image Based Computation for Supporting Clinical Decision in Neurological and Psychiatric Disorders
Published in
Frontiers in Neuroscience, March 2021
DOI 10.3389/fnins.2020.599523
Pubmed ID
Authors

Lin Shi, Weidong Cai, Feng Feng

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 13%
Student > Doctoral Student 1 7%
Other 1 7%
Student > Ph. D. Student 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 9 60%
Readers by discipline Count As %
Medicine and Dentistry 2 13%
Neuroscience 2 13%
Environmental Science 1 7%
Computer Science 1 7%
Unknown 9 60%
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 18 March 2021.
All research outputs
#16,061,963
of 25,394,764 outputs
Outputs from Frontiers in Neuroscience
#7,070
of 11,544 outputs
Outputs of similar age
#251,702
of 451,293 outputs
Outputs of similar age from Frontiers in Neuroscience
#331
of 416 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 36th percentile – i.e., 36% 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 451,293 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 416 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.