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Mendeley readers
Attention Score in Context
Title |
Does the Instantaneous Wave-Free Ratio Approximate the Fractional Flow Reserve?
|
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Published in |
JACC, February 2013
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DOI | 10.1016/j.jacc.2012.09.064 |
Pubmed ID | |
Authors |
Nils P. Johnson, Richard L. Kirkeeide, Kaleab N. Asrress, William F. Fearon, Timothy Lockie, Koen M.J. Marques, Stylianos A. Pyxaras, M. Cristina Rolandi, Marcel van 't Veer, Bernard De Bruyne, Jan J. Piek, Nico H.J. Pijls, Simon Redwood, Maria Siebes, Jos A.E. Spaan, K. Lance Gould |
Abstract |
This study sought to examine the clinical performance of and theoretical basis for the instantaneous wave-free ratio (iFR) approximation to the fractional flow reserve (FFR). |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 1% |
Netherlands | 1 | 1% |
United States | 1 | 1% |
Portugal | 1 | 1% |
Unknown | 95 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 27 | 27% |
Student > Ph. D. Student | 14 | 14% |
Other | 13 | 13% |
Professor > Associate Professor | 7 | 7% |
Student > Master | 6 | 6% |
Other | 12 | 12% |
Unknown | 20 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 51 | 52% |
Engineering | 13 | 13% |
Computer Science | 3 | 3% |
Nursing and Health Professions | 2 | 2% |
Psychology | 2 | 2% |
Other | 4 | 4% |
Unknown | 24 | 24% |
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 13 June 2023.
All research outputs
#6,930,204
of 25,374,647 outputs
Outputs from JACC
#8,946
of 16,741 outputs
Outputs of similar age
#68,933
of 291,187 outputs
Outputs of similar age from JACC
#82
of 220 outputs
Altmetric has tracked 25,374,647 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 16,741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 291,187 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 76% of its contemporaries.
We're also able to compare this research output to 220 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 62% of its contemporaries.