↓ Skip to main content

Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, April 2022
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
13 X users

Readers on

mendeley
33 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements
Published in
Critical Reviews in Diagnostic Imaging, April 2022
DOI 10.1186/s12968-022-00855-3
Pubmed ID
Authors

Faisal Alandejani, Samer Alabed, Pankaj Garg, Ze Ming Goh, Kavita Karunasaagarar, Michael Sharkey, Mahan Salehi, Ziad Aldabbagh, Krit Dwivedi, Michail Mamalakis, Pete Metherall, Johanna Uthoff, Chris Johns, Alexander Rothman, Robin Condliffe, Abdul Hameed, Athanasios Charalampoplous, Haiping Lu, Sven Plein, John P. Greenwood, Allan Lawrie, Jim M. Wild, Patrick J. H. de Koning, David G. Kiely, Rob Van Der Geest, Andrew J. Swift

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Student > Postgraduate 3 9%
Student > Master 3 9%
Researcher 2 6%
Lecturer 1 3%
Other 2 6%
Unknown 16 48%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Nursing and Health Professions 2 6%
Social Sciences 2 6%
Physics and Astronomy 2 6%
Business, Management and Accounting 1 3%
Other 3 9%
Unknown 16 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 17 April 2022.
All research outputs
#3,872,991
of 25,738,558 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#240
of 1,386 outputs
Outputs of similar age
#85,814
of 449,363 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#6
of 19 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 82% of its peers.
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 449,363 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.