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Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study-

Overview of attention for article published in CVIR Endovascular, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Readers on

mendeley
7 Mendeley
Title
Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study-
Published in
CVIR Endovascular, October 2022
DOI 10.1186/s42155-022-00328-9
Pubmed ID
Authors

Yuko Yazu, Masahiko Fujihara, Mitsuyoshi Takahara, Naoya Kurata, Aya Nakata, Hitoshi Yoshimura, Tomoaki Ito, Masashi Fukunaga, Amane Kozuki, Yusuke Tomoi

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Student > Doctoral Student 1 14%
Unknown 5 71%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Unknown 6 86%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 May 2023.
All research outputs
#14,557,947
of 24,820,264 outputs
Outputs from CVIR Endovascular
#183
of 379 outputs
Outputs of similar age
#181,290
of 433,037 outputs
Outputs of similar age from CVIR Endovascular
#7
of 14 outputs
Altmetric has tracked 24,820,264 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 379 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 50% 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 433,037 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 57% of its contemporaries.
We're also able to compare this research output to 14 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 57% of its contemporaries.