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Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

Overview of attention for article published in European Radiology Experimental, June 2021
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2 X users

Citations

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Readers on

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24 Mendeley
Title
Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke
Published in
European Radiology Experimental, June 2021
DOI 10.1186/s41747-021-00225-1
Pubmed ID
Authors

Lasse Hokkinen, Teemu Mäkelä, Sauli Savolainen, Marko Kangasniemi

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 21%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Student > Doctoral Student 1 4%
Other 1 4%
Other 2 8%
Unknown 11 46%
Readers by discipline Count As %
Engineering 3 13%
Medicine and Dentistry 3 13%
Computer Science 3 13%
Business, Management and Accounting 1 4%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 12 50%
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 08 July 2021.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from European Radiology Experimental
#215
of 310 outputs
Outputs of similar age
#346,663
of 458,636 outputs
Outputs of similar age from European Radiology Experimental
#7
of 9 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 23rd percentile – i.e., 23% 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 458,636 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.