| Title |
Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC)
|
|---|---|
| Published in |
European Radiology, June 2019
|
| DOI | 10.1007/s00330-019-06229-1 |
| Pubmed ID | |
| Authors |
Isaac Shiri, Pardis Ghafarian, Parham Geramifar, Kevin Ho-Yin Leung, Mostafa Ghelichoghli, Mehrdad Oveisi, Arman Rahmim, Mohammad Reza Ay |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 29% |
| Ecuador | 1 | 14% |
| Canada | 1 | 14% |
| Netherlands | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Student > Ph. D. Student | 7 | 11% |
| Researcher | 4 | 6% |
| Other | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 12 | 19% |
| Unknown | 25 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 20% |
| Medicine and Dentistry | 7 | 11% |
| Engineering | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Philosophy | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 27 | 42% |
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 11 September 2023.
All research outputs
#6,977,447
of 25,540,105 outputs
Outputs from European Radiology
#1,000
of 5,024 outputs
Outputs of similar age
#118,060
of 368,246 outputs
Outputs of similar age from European Radiology
#12
of 66 outputs
Altmetric has tracked 25,540,105 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 5,024 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 79% 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 368,246 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 67% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.