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X Demographics
Mendeley readers
Attention Score in Context
Title |
Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding
|
---|---|
Published in |
Frontiers in Cardiovascular Medicine, October 2023
|
DOI | 10.3389/fcvm.2023.1189293 |
Pubmed ID | |
Authors |
Ruibin Feng, Brototo Deb, Prasanth Ganesan, Fleur V. Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo, Sulaiman Somani, Paul Clopton, Tina Baykaner, Miguel Rodrigo, James Zou, Francois Haddad, Matei Zahari, Sanjiv M. Narayan |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
Switzerland | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 3 | 50% |
Members of the public | 2 | 33% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 20% |
Student > Ph. D. Student | 1 | 20% |
Unknown | 3 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 20% |
Engineering | 1 | 20% |
Unknown | 3 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 October 2023.
All research outputs
#8,520,890
of 25,611,630 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,605
of 9,383 outputs
Outputs of similar age
#122,378
of 358,414 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#47
of 493 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9,383 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 82% 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 358,414 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 65% of its contemporaries.
We're also able to compare this research output to 493 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.