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Predicting postinterventional rupture of intracranial aneurysms using arteriography-derived radiomic features after pipeline embolization

Overview of attention for article published in Frontiers in Neurology, March 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Predicting postinterventional rupture of intracranial aneurysms using arteriography-derived radiomic features after pipeline embolization
Published in
Frontiers in Neurology, March 2024
DOI 10.3389/fneur.2024.1327127
Pubmed ID
Authors

Chao Ma, Shikai Liang, Fei Liang, Ligong Lu, Haoyu Zhu, Xianli Lv, Xuejun Yang, Chuhan Jiang, Yupeng Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 March 2024.
All research outputs
#16,484,863
of 26,103,952 outputs
Outputs from Frontiers in Neurology
#6,657
of 14,848 outputs
Outputs of similar age
#158,463
of 348,021 outputs
Outputs of similar age from Frontiers in Neurology
#114
of 474 outputs
Altmetric has tracked 26,103,952 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,848 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 54% 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 348,021 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 54% of its contemporaries.
We're also able to compare this research output to 474 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.