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Computed Tomography Angiography Versus Digital Subtraction Angiography for Postclipping Aneurysm Obliteration Detection

Overview of attention for article published in Stroke, February 2019
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
17 X users
facebook
2 Facebook pages

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Computed Tomography Angiography Versus Digital Subtraction Angiography for Postclipping Aneurysm Obliteration Detection
Published in
Stroke, February 2019
DOI 10.1161/strokeaha.118.023614
Pubmed ID
Authors

Matthew Uricchio, Saksham Gupta, Nicholas Jakowenko, Marissa Levito, Nguyen Vu, Joanne Doucette, Aaron Liew, Stefania Papatheodorou, Ayaz M Khawaja, Linda S Aglio, Mohammad Ali Aziz-Sultan, Hasan Zaidi, Timothy R Smith, Rania A Mekary

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 15%
Student > Bachelor 4 10%
Other 3 7%
Student > Doctoral Student 3 7%
Student > Ph. D. Student 3 7%
Other 8 20%
Unknown 14 34%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Neuroscience 6 15%
Engineering 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 10%
Unknown 14 34%
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 October 2019.
All research outputs
#3,716,294
of 23,753,899 outputs
Outputs from Stroke
#3,712
of 11,863 outputs
Outputs of similar age
#83,031
of 441,770 outputs
Outputs of similar age from Stroke
#94
of 194 outputs
Altmetric has tracked 23,753,899 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,863 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one has gotten more attention than average, scoring higher than 68% 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 441,770 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 81% of its contemporaries.
We're also able to compare this research output to 194 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 52% of its contemporaries.