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Technical Pitfalls for Fenestrated-Branched Endovascular Aortic Repair Following PETTICOAT.

Overview of attention for article published in Journal of Endovascular Therapy, March 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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6 X users

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6 Mendeley
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Title
Technical Pitfalls for Fenestrated-Branched Endovascular Aortic Repair Following PETTICOAT.
Published in
Journal of Endovascular Therapy, March 2023
DOI 10.1177/15266028231163439
Pubmed ID
Authors

Aidin Baghbani-Oskouei, Emanuel R Tenorio, Marina Dias-Neto, Andrea Vacirca, Aleem K Mirza, Naveed Saqib, Bernardo C Mendes, Laura Ocasio, Thanila A Macedo, Gustavo S Oderich

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 17%
Unknown 5 83%
Readers by discipline Count As %
Medicine and Dentistry 1 17%
Unknown 5 83%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 April 2023.
All research outputs
#6,878,084
of 25,394,764 outputs
Outputs from Journal of Endovascular Therapy
#219
of 959 outputs
Outputs of similar age
#119,340
of 421,839 outputs
Outputs of similar age from Journal of Endovascular Therapy
#1
of 13 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 959 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 421,839 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.