| Title |
Preliminary report on harmonization of features extraction process using the ComBat tool in the multi-center “Blue Sky Radiomics” study on stage III unresectable NSCLC
|
|---|---|
| Published in |
Insights into Imaging, March 2022
|
| DOI | 10.1186/s13244-022-01171-1 |
| Pubmed ID | |
| Authors |
Raffaella Fiamma Cabini, Francesca Brero, Andrea Lancia, Chiara Stelitano, Olga Oneta, Elena Ballante, Emanuela Puppo, Manuel Mariani, Emanuele Alì, Valentina Bartolomeo, Marianna Montesano, Elisa Merizzoli, Diana Aluia, Francesco Agustoni, Giulia Maria Stella, Roger Sun, Linda Bianchini, Eric Deutsch, Silvia Figini, Chandra Bortolotto, Lorenzo Preda, Alessandro Lascialfari, Andrea Riccardo Filippi |
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 % |
|---|---|---|
| Spain | 1 | 25% |
| Italy | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Student > Ph. D. Student | 4 | 18% |
| Other | 1 | 5% |
| Lecturer | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 18% |
| Computer Science | 3 | 14% |
| Physics and Astronomy | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 8 | 36% |
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 March 2022.
All research outputs
#14,350,984
of 24,217,893 outputs
Outputs from Insights into Imaging
#575
of 1,072 outputs
Outputs of similar age
#194,955
of 430,278 outputs
Outputs of similar age from Insights into Imaging
#22
of 52 outputs
Altmetric has tracked 24,217,893 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 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 430,278 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 54% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.