Using Text Content From Coronary Catheterization Reports to Predict 5-Year Mortality Among Patients Undergoing Coronary Angiography: A Deep Learning Approach
Published in
Frontiers in Cardiovascular Medicine, February 2022
This research output has an Altmetric Attention Score of 1. 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 21 March 2022.
All research outputs
#18,876,871
of 23,390,392 outputs
Outputs from Frontiers in Cardiovascular Medicine
#3,434
of 7,290 outputs
Outputs of similar age
#318,488
of 442,255 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#455
of 976 outputs
Altmetric has tracked 23,390,392 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,290 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 38th percentile – i.e., 38% 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 442,255 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 976 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
