| Title |
DeepPVC: prediction of a partial volume-corrected map for brain positron emission tomography studies via a deep convolutional neural network
|
|---|---|
| Published in |
EJNMMI Physics, July 2022
|
| DOI | 10.1186/s40658-022-00478-8 |
| Pubmed ID | |
| Authors |
Keisuke Matsubara, Masanobu Ibaraki, Toshibumi Kinoshita |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 33% |
| Netherlands | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 18% |
| Student > Master | 2 | 18% |
| Student > Doctoral Student | 1 | 9% |
| Unknown | 6 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 18% |
| Computer Science | 1 | 9% |
| Psychology | 1 | 9% |
| Physics and Astronomy | 1 | 9% |
| Unknown | 6 | 55% |
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 01 August 2022.
All research outputs
#6,403,799
of 23,006,268 outputs
Outputs from EJNMMI Physics
#28
of 182 outputs
Outputs of similar age
#119,603
of 431,308 outputs
Outputs of similar age from EJNMMI Physics
#1
of 10 outputs
Altmetric has tracked 23,006,268 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 182 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 84% 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 431,308 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 71% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them