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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A deep-learning approach for myocardial fibrosis detection in early contrast-enhanced cardiac CT images
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, June 2023
|
| DOI | 10.3389/fcvm.2023.1151705 |
| Pubmed ID | |
| Authors |
Marco Penso, Mario Babbaro, Sara Moccia, Andrea Baggiano, Maria Ludovica Carerj, Marco Guglielmo, Laura Fusini, Saima Mushtaq, Daniele Andreini, Mauro Pepi, Gianluca Pontone, Enrico G. Caiani |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Professor | 1 | 10% |
| Unspecified | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 2 | 20% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 30% |
| Computer Science | 2 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unspecified | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
Attention Score in Context
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 22 June 2023.
All research outputs
#16,239,274
of 23,928,031 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,965
of 7,877 outputs
Outputs of similar age
#96,533
of 174,491 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#80
of 319 outputs
Altmetric has tracked 23,928,031 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,877 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 59% 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 174,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 319 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 74% of its contemporaries.