| Title |
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
|
|---|---|
| Published in |
European Radiology Experimental, August 2020
|
| DOI | 10.1186/s41747-020-00173-2 |
| Pubmed ID | |
| Authors |
Johannes Hofmanninger, Forian Prayer, Jeanny Pan, Sebastian Röhrich, Helmut Prosch, Georg Langs |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 5 | 19% |
| United States | 3 | 11% |
| Australia | 2 | 7% |
| Singapore | 1 | 4% |
| Japan | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 14 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 67% |
| Practitioners (doctors, other healthcare professionals) | 4 | 15% |
| Scientists | 3 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Unknown | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 254 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 19% |
| Researcher | 32 | 13% |
| Student > Master | 28 | 11% |
| Student > Bachelor | 21 | 8% |
| Student > Postgraduate | 10 | 4% |
| Other | 32 | 13% |
| Unknown | 83 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 60 | 24% |
| Engineering | 32 | 13% |
| Medicine and Dentistry | 22 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 2% |
| Agricultural and Biological Sciences | 5 | 2% |
| Other | 24 | 9% |
| Unknown | 105 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 April 2024.
All research outputs
#2,248,217
of 25,398,331 outputs
Outputs from European Radiology Experimental
#14
of 298 outputs
Outputs of similar age
#60,023
of 426,019 outputs
Outputs of similar age from European Radiology Experimental
#1
of 8 outputs
Altmetric has tracked 25,398,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 95% 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 426,019 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 85% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them