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An efficient deep neural network for automatic classification of acute intracranial hemorrhages in brain CT scans

Overview of attention for article published in Computers in Biology & Medicine, May 2024
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1 X user

Readers on

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19 Mendeley
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Article details
Title
An efficient deep neural network for automatic classification of acute intracranial hemorrhages in brain CT scans
Published in
Computers in Biology & Medicine, May 2024
DOI 10.1016/j.compbiomed.2024.108587
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor > Associate Professor 1 5%
Researcher 1 5%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Unknown 15 79%
Readers by discipline
Readers by discipline Count As %
Computer Science 2 11%
Engineering 2 11%
Unknown 15 79%
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 14 May 2024.
All research outputs
#28,624,913
of 34,388,610 outputs
Outputs from Computers in Biology & Medicine
#3,127
of 4,200 outputs
Outputs of similar age
#271,122
of 372,583 outputs
Outputs of similar age from Computers in Biology & Medicine
#67
of 103 outputs
Altmetric has tracked 34,388,610 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,200 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 16th percentile – i.e., 16% 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 372,583 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 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.