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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction
|
|---|---|
| Chapter number | 15 |
| Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
| Published in |
arXiv, September 2022
|
| DOI | 10.1007/978-3-031-16440-8_15 |
| Book ISBNs |
978-3-03-116439-2, 978-3-03-116440-8
|
| Authors |
Dominik J. E. Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck, Waibel, Dominik J. E., Atwell, Scott, Meier, Matthias, Marr, Carsten, Rieck, Bastian |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 8 | 26% |
| United States | 4 | 13% |
| United Kingdom | 2 | 6% |
| Mexico | 1 | 3% |
| Italy | 1 | 3% |
| India | 1 | 3% |
| France | 1 | 3% |
| Japan | 1 | 3% |
| Unknown | 12 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 68% |
| Scientists | 10 | 32% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 23% |
| Student > Ph. D. Student | 2 | 15% |
| Researcher | 2 | 15% |
| Other | 1 | 8% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 23% |
| Mathematics | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Computer Science | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 07 July 2023.
All research outputs
#1,781,778
of 24,093,053 outputs
Outputs from arXiv
#29,280
of 1,020,419 outputs
Outputs of similar age
#35,474
of 391,122 outputs
Outputs of similar age from arXiv
#978
of 37,317 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 97% 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 391,122 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 37,317 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 97% of its contemporaries.