Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
nnDetection: A Self-configuring Method for Medical Object Detection
|
|---|---|
| Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
|
| Published in |
arXiv, September 2021
|
| DOI | 10.1007/978-3-030-87240-3_51 |
| Book ISBNs |
978-3-03-087239-7, 978-3-03-087240-3
|
| Authors |
Michael Baumgartner, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein, Paul F. Jäger, Baumgartner, Michael, Jäger, Paul F., Isensee, Fabian, Maier-Hein, Klaus H. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 5 | 25% |
| United States | 2 | 10% |
| Netherlands | 2 | 10% |
| Thailand | 1 | 5% |
| France | 1 | 5% |
| Japan | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 9 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 15% |
| Researcher | 15 | 15% |
| Student > Master | 10 | 10% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 42 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 25% |
| Engineering | 17 | 17% |
| Medicine and Dentistry | 3 | 3% |
| Unspecified | 2 | 2% |
| Neuroscience | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 49 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 15 June 2023.
All research outputs
#2,283,099
of 23,867,274 outputs
Outputs from arXiv
#39,451
of 1,007,055 outputs
Outputs of similar age
#52,608
of 421,578 outputs
Outputs of similar age from arXiv
#1,220
of 34,734 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,007,055 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 96% 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 421,578 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 87% of its contemporaries.
We're also able to compare this research output to 34,734 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 96% of its contemporaries.