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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results
|
|---|---|
| Chapter number | 6 |
| Book title |
Simulation and Synthesis in Medical Imaging
|
| Published in |
arXiv, September 2017
|
| DOI | 10.1007/978-3-319-68127-6_6 |
| Book ISBNs |
978-3-31-968126-9, 978-3-31-968127-6
|
| Authors |
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Marianne Amitai, Hayit Greenspan, Ben-Cohen, Avi, Klang, Eyal, Raskin, Stephen P., Amitai, Michal Marianne, Greenspan, Hayit |
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 % |
|---|---|---|
| Denmark | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Student > Master | 20 | 21% |
| Researcher | 15 | 16% |
| Other | 5 | 5% |
| Student > Bachelor | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 21 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 39% |
| Engineering | 15 | 16% |
| Medicine and Dentistry | 5 | 5% |
| Physics and Astronomy | 2 | 2% |
| Mathematics | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 32 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 14 June 2023.
All research outputs
#3,982,350
of 24,417,958 outputs
Outputs from arXiv
#74,488
of 1,038,151 outputs
Outputs of similar age
#66,841
of 320,025 outputs
Outputs of similar age from arXiv
#1,352
of 20,373 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,038,151 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 92% 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 320,025 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 20,373 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 93% of its contemporaries.