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Performance of a 3D convolutional neural network in the detection of hypoperfusion at CT pulmonary angiography in patients with chronic pulmonary embolism: a feasibility study

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

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mendeley
15 Mendeley
Title
Performance of a 3D convolutional neural network in the detection of hypoperfusion at CT pulmonary angiography in patients with chronic pulmonary embolism: a feasibility study
Published in
European Radiology Experimental, September 2021
DOI 10.1186/s41747-021-00235-z
Pubmed ID
Authors

Tuomas Vainio, 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 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 %
Unspecified 1 7%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Other 3 20%
Unknown 7 47%
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Engineering 2 13%
Unspecified 1 7%
Unknown 8 53%
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 27 September 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
#331,508
of 438,161 outputs
Outputs of similar age from European Radiology Experimental
#9
of 10 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 438,161 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.