| Title |
Preselection of robust radiomic features does not improve outcome modelling in non-small cell lung cancer based on clinical routine FDG-PET imaging
|
|---|---|
| Published in |
EJNMMI Research, August 2021
|
| DOI | 10.1186/s13550-021-00809-3 |
| Pubmed ID | |
| Authors |
Carol Oliveira, Florian Amstutz, Diem Vuong, Marta Bogowicz, Martin Hüllner, Robert Foerster, Lucas Basler, Christina Schröder, Eric I. Eboulet, Miklos Pless, Sandra Thierstein, Solange Peters, Sven Hillinger, Stephanie Tanadini-Lang, Matthias Guckenberger |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 30% |
| Researcher | 5 | 25% |
| Unspecified | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Unknown | 7 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 35% |
| Physics and Astronomy | 2 | 10% |
| Mathematics | 1 | 5% |
| Unspecified | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 August 2021.
All research outputs
#4,221,765
of 23,310,485 outputs
Outputs from EJNMMI Research
#55
of 571 outputs
Outputs of similar age
#94,369
of 431,902 outputs
Outputs of similar age from EJNMMI Research
#1
of 23 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 571 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 90% 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 431,902 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 78% of its contemporaries.
We're also able to compare this research output to 23 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 91% of its contemporaries.