Simulation and Synthesis in Medical Imaging
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Synth-by-Reg (SbR): Contrastive Learning for Synthesis-Based Registration of Paired Images
|
|---|---|
| Book title |
Simulation and Synthesis in Medical Imaging
|
| Published in |
arXiv, September 2021
|
| DOI | 10.1007/978-3-030-87592-3_5 |
| Pubmed ID | |
| Book ISBNs |
978-3-03-087591-6, 978-3-03-087592-3
|
| Authors |
Adrià Casamitjana, Matteo Mancini, Juan Eugenio Iglesias, Casamitjana, Adrià, Mancini, Matteo, Iglesias, Juan Eugenio, Casamitjana, A, Mancini, M, Iglesias, JE |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 2 | 18% |
| Canada | 1 | 9% |
| India | 1 | 9% |
| United States | 1 | 9% |
| Netherlands | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 7% |
| Other | 1 | 7% |
| Professor | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 8 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 14% |
| Agricultural and Biological Sciences | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Chemistry | 1 | 7% |
| Computer Science | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 57% |
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 19 April 2024.
All research outputs
#4,340,396
of 25,750,437 outputs
Outputs from arXiv
#71,624
of 942,110 outputs
Outputs of similar age
#89,551
of 437,552 outputs
Outputs of similar age from arXiv
#1,936
of 26,931 outputs
Altmetric has tracked 25,750,437 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 942,110 research outputs from this source. They receive a mean Attention Score of 4.2. 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 437,552 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 26,931 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 92% of its contemporaries.