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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Intraoperative Liver Surface Completion with Graph Convolutional VAE
|
|---|---|
| Chapter number | 19 |
| Book title |
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
|
| Published in |
arXiv, October 2020
|
| DOI | 10.1007/978-3-030-60365-6_19 |
| Book ISBNs |
978-3-03-060364-9, 978-3-03-060365-6
|
| Authors |
Simone Foti, Bongjin Koo, Thomas Dowrick, Joao Ramalhinho, Moustafa Allam, Brian Davidson, Danail Stoyanov, Matthew J. Clarkson, João Ramalhinho, Foti, Simone, Koo, Bongjin, Dowrick, Thomas, Ramalhinho, João, Allam, Moustafa, Davidson, Brian, Stoyanov, Danail, Clarkson, Matthew J. |
Twitter Demographics
The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 20% |
| Japan | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Researcher | 2 | 20% |
| Student > Master | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Professor > Associate Professor | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 40% |
| Engineering | 4 | 40% |
| Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 July 2021.
All research outputs
#14,095,539
of 24,093,053 outputs
Outputs from arXiv
#219,358
of 1,018,817 outputs
Outputs of similar age
#204,721
of 417,184 outputs
Outputs of similar age from arXiv
#6,974
of 33,772 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 77% 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 417,184 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 50% of its contemporaries.
We're also able to compare this research output to 33,772 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.