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SUITer: An Automated Method for Improving Segmentation of Infratentorial Structures at Ultra‐High‐Field MRI

Overview of attention for article published in Journal of Neuroimaging, November 2019
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2 X users

Citations

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4 Dimensions

Readers on

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17 Mendeley
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Title
SUITer: An Automated Method for Improving Segmentation of Infratentorial Structures at Ultra‐High‐Field MRI
Published in
Journal of Neuroimaging, November 2019
DOI 10.1111/jon.12672
Pubmed ID
Authors

Mohamed Mounir El Mendili, Maria Petracca, Kornelius Podranski, Lazar Fleysher, Sirio Cocozza, Matilde Inglese

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Other 1 6%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Researcher 1 6%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Medicine and Dentistry 3 18%
Business, Management and Accounting 2 12%
Neuroscience 2 12%
Engineering 2 12%
Unknown 8 47%
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 04 April 2020.
All research outputs
#15,603,636
of 23,199,478 outputs
Outputs from Journal of Neuroimaging
#592
of 964 outputs
Outputs of similar age
#226,130
of 365,553 outputs
Outputs of similar age from Journal of Neuroimaging
#13
of 18 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 964 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 29th percentile – i.e., 29% 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 365,553 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.