| Title |
Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the standard acquisition
|
|---|---|
| Published in |
EJNMMI Physics, May 2022
|
| DOI | 10.1186/s40658-022-00465-z |
| Pubmed ID | |
| Authors |
Gerald Bonardel, Axel Dupont, Pierre Decazes, Mathieu Queneau, Romain Modzelewski, Jeremy Coulot, Nicolas Le Calvez, Sébastien Hapdey |
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 % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 13% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 11 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 13% |
| Physics and Astronomy | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Engineering | 1 | 6% |
| Unknown | 11 | 69% |
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 12 May 2022.
All research outputs
#18,733,166
of 23,885,338 outputs
Outputs from EJNMMI Physics
#115
of 194 outputs
Outputs of similar age
#301,481
of 429,214 outputs
Outputs of similar age from EJNMMI Physics
#5
of 7 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 39th percentile – i.e., 39% 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 429,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.